A brief introduction to network theory which introduces my COMM 620 MBA class to three different strands of research explaining the context within which digital tools are used.
An interactive presentation on social network theory and analysis. Content includes information on tie formation and social capital. Network relations are explained by using the example of The A Team. Granovetter's Strength of Weak Ties Theory (1973) is also covered and weak ties and strong ties are explained. Appropriate application of social network theory to individuals understanding how to best take advantage of social networking platforms to find jobs as well as companies taking advantage of social media platforms to find followers are introduced.
This document discusses social network theory and analysis. It defines a social network as including actors (nodes) and the relationships (ties) between them. Social network analysis examines the relationships and structure of relationships between social entities like individuals or organizations. The document outlines some key concepts in social network theory including centrality, which looks at the importance of individual actors, and multiplexity, which refers to relationships serving multiple functions. It also discusses how network characteristics like size, subgroups, and centralization vs decentralization impact information sharing and decision making in organizations.
The document discusses networks and network theory. It defines what a network is and provides examples of networks in nature, society, and technology. It also discusses key network concepts like nodes, edges, average path length, clustering coefficients, and different types of networks including random, lattice, and small-world networks. Power laws and scale-free networks are also covered.
The document discusses the history and applications of social network analysis. It covers early uses of social network analysis to study small groups and diffusion. Common uses of social network analysis include studying diffusion, social influence, social support, and organizational structure. The document also discusses measures used in social network analysis like density, centrality, and blockmodel analysis. Finally, it examines the rise of social networking on the internet and mobile social applications.
Social Network Theory is the study of how people, organizations or groups interact with others inside their network understanding the easier when you examine the individual pieces starting with the largest element, when is networks, and working down to the smallest elements, which is the actors. The idea of social network and the notions of sociograms appeared over 50years ago Barnes (1954) is credited with coining the notion of social network, an outflow of his study of a Norwegian island parish in the early 1950s
1. The document discusses social network theory (SNT) and how it relates to Google. SNT analyzes relationships between individuals or objects and sees networks as having emergent behaviors. It began in psychology and sociology and focuses on describing social structures.
2. Google's search engine, PageRank, is based on SNT principles by analyzing the web as a social network of linked pages. PageRank assigns importance values to pages based on the importance of the pages linking to them. This personalized search using a user's social network.
3. The document predicts that Google could apply SNT more in its driverless cars and maps. Cars could form dynamic carpools based on users' social networks. Maps could
Is network theory the best hope for regulating systemic risk?Kimmo Soramaki
The presentation is organised around three policy questions:
1. How can we measure the systemic importance of a bank?
2. Can regulators promote a safer financial system by affecting its topology?
3. Is it possible to devise early-warning indicators from real-time data?
A Perspective on Graph Theory and Network ScienceMarko Rodriguez
The graph/network domain has been driven by the creativity of numerous individuals from disparate areas of the academic and the commercial sector. Examples of contributing academic disciplines include mathematics, physics, sociology, and computer science. Given the interdisciplinary nature of the domain, it is difficult for any single individual to objectively realize and speak about the space as a whole. Any presentation of the ideas is ultimately biased by the formal training and expertise of the individual. For this reason, I will simply present on the domain from my perspective---from my personal experiences. More specifically, from my perspective biased by cognitive and computer science.
This is an autobiographical lecture on my life (so far) with graphs/networks.
An interactive presentation on social network theory and analysis. Content includes information on tie formation and social capital. Network relations are explained by using the example of The A Team. Granovetter's Strength of Weak Ties Theory (1973) is also covered and weak ties and strong ties are explained. Appropriate application of social network theory to individuals understanding how to best take advantage of social networking platforms to find jobs as well as companies taking advantage of social media platforms to find followers are introduced.
This document discusses social network theory and analysis. It defines a social network as including actors (nodes) and the relationships (ties) between them. Social network analysis examines the relationships and structure of relationships between social entities like individuals or organizations. The document outlines some key concepts in social network theory including centrality, which looks at the importance of individual actors, and multiplexity, which refers to relationships serving multiple functions. It also discusses how network characteristics like size, subgroups, and centralization vs decentralization impact information sharing and decision making in organizations.
The document discusses networks and network theory. It defines what a network is and provides examples of networks in nature, society, and technology. It also discusses key network concepts like nodes, edges, average path length, clustering coefficients, and different types of networks including random, lattice, and small-world networks. Power laws and scale-free networks are also covered.
The document discusses the history and applications of social network analysis. It covers early uses of social network analysis to study small groups and diffusion. Common uses of social network analysis include studying diffusion, social influence, social support, and organizational structure. The document also discusses measures used in social network analysis like density, centrality, and blockmodel analysis. Finally, it examines the rise of social networking on the internet and mobile social applications.
Social Network Theory is the study of how people, organizations or groups interact with others inside their network understanding the easier when you examine the individual pieces starting with the largest element, when is networks, and working down to the smallest elements, which is the actors. The idea of social network and the notions of sociograms appeared over 50years ago Barnes (1954) is credited with coining the notion of social network, an outflow of his study of a Norwegian island parish in the early 1950s
1. The document discusses social network theory (SNT) and how it relates to Google. SNT analyzes relationships between individuals or objects and sees networks as having emergent behaviors. It began in psychology and sociology and focuses on describing social structures.
2. Google's search engine, PageRank, is based on SNT principles by analyzing the web as a social network of linked pages. PageRank assigns importance values to pages based on the importance of the pages linking to them. This personalized search using a user's social network.
3. The document predicts that Google could apply SNT more in its driverless cars and maps. Cars could form dynamic carpools based on users' social networks. Maps could
Is network theory the best hope for regulating systemic risk?Kimmo Soramaki
The presentation is organised around three policy questions:
1. How can we measure the systemic importance of a bank?
2. Can regulators promote a safer financial system by affecting its topology?
3. Is it possible to devise early-warning indicators from real-time data?
A Perspective on Graph Theory and Network ScienceMarko Rodriguez
The graph/network domain has been driven by the creativity of numerous individuals from disparate areas of the academic and the commercial sector. Examples of contributing academic disciplines include mathematics, physics, sociology, and computer science. Given the interdisciplinary nature of the domain, it is difficult for any single individual to objectively realize and speak about the space as a whole. Any presentation of the ideas is ultimately biased by the formal training and expertise of the individual. For this reason, I will simply present on the domain from my perspective---from my personal experiences. More specifically, from my perspective biased by cognitive and computer science.
This is an autobiographical lecture on my life (so far) with graphs/networks.
Social Network Analysis for Competitive IntelligenceAugust Jackson
How can CI teams apply the concepts of social network analysis to gain insight into the capabilities and plans of their competitors? Presented by Jim Richardson and August Jackson in April 2007 at the Society of Competitive Intelligence Professionals annual conference in New York City.
The document discusses key concepts related to social networks and social networking sites. It defines social networks as networks formed by social ties that can be both personal networks and community networks. Social networking involves using one's social networks, often for professional advantage, and is supported by social networking sites. Social networking sites are primarily designed for managing personal social networks and making social ties explicit. The document also discusses issues like privacy, data ownership, and the structure and management of social networks and ties on social media platforms.
This short set of slides summarizes the characteristics of people who play specific roles in networks. In a social network analysis, people in these roles can be discovered by running mathematical algorithms through the social graphs. But you don't need to be an algorithm to spot some of these people in your networks!
Power no longer resides exclusively (if at all) in states, institutions, or large corporations. It is located in the networks that structure society. Social network analysis seeks to understand networks and their participants and has two main focuses: the actors and the relationships between them in a specific social context.
Visible Effort: A Social Entropy Methodology for Managing Computer-Mediated ...Sorin Adam Matei
A theoretically-grounded learning feedback tool suite, the Visible Effort (VE) Mediawiki extension, is proposed for optimizing online group learning activities by measuring the amount of equality and the emergence of social structure in groups that participate in Computer-Mediated Collaboration (CMC). Building on social entropy theory, drawn from Shannon’s Mathematical Theory of Communication, VE captures levels of CMC unevenness and group structure and visualizes them on wiki Web pages through background colors, charts, and tabular data. Visual information provides users entropic feedback on how balanced and equitable collaboration is within their online group are, while helping them to maintain it within optimal levels. Finally, we present the theoretical and practical implications of VE and the measures behind it, as well as illustrate VE’s capabilities by describing a quasi-experimental teaching activity (use scenario) in tandem with a detailed discussion of theoretical justification, methodological underpinning, and technological capabilities of the approach.
Community Evolution in the Digital Space and Creation of SocialInformation C...Saptarshi Ghosh
A social homogeneous group can be formed irrespective to geo-spatial contiguity and research reveals that interaction through online communication fosters social behaviours like teamwork, ties, bonding and trust building as well as community building.
Granovetter proposes that tie strength between two individuals can be measured as a linear combination of frequency of contact, emotional intensity, intimacy, and reciprocal services. He argues that weak ties (bridges) are important for transmitting information between groups. Weak ties create shorter paths for information to diffuse through a social network more quickly. People with many weak ties have access to more diverse information and opportunities through their role as "brokers" between groups.
Social Network Analysis power point presentation Ratnesh Shah
Basics of social network analysis,Application and also explain interesting study done by facebook , twitter, youtube and many more social media network ,slide contains some of interesting study to get knowledge about online social network analysis.
Practical Applications for Social Network Analysis in Public Sector Marketing...Mike Kujawski
This document provides an overview of a presentation on practical applications of social network analysis. It discusses the growth of social data, defines social network analysis, and provides several use cases. It then outlines the presentation topics which include basics of reading sociograms, refining data, and applying SNA to public sector marketing. Examples of SNA applications to specific organizations are provided. Both free and paid tools for conducting SNA are also mentioned.
This document outlines a research agenda for Web 3.0 technologies focusing on location awareness, ubiquitous collaboration, and their impacts. Key questions are proposed around how location-aware information delivery and contextualization in space affects memorability and knowledge organization, and how optimal collaboration structures can be measured and supported online to enhance learning, content production, and social outcomes. Relevant learning and social theories are discussed. Usability factors like task-fit and multimodal information are also addressed.
Social Network Analysis & an Introduction to ToolsPatti Anklam
This document provides an introduction to social network analysis. It discusses how networks can be mapped and analyzed using tools to understand their structure and flow of information. Key aspects of network analysis are introduced, including nodes, ties, centrality metrics, and structural patterns. A variety of tools are presented, ranging from free social media applications to specialized software, that can be used to map and analyze networks. The value of network analysis is in identifying influential individuals, improving collaboration and knowledge sharing, and intervening to change network structures and behaviors.
Part 1: Concepts and Cases (the language of networks, networks in organizations, case studies and key concepts)
Part 2: (Starts on #44) Mapping Organizational, Personal, and Enterprise Networks: Tools
An update to last year's Social Network Analysis Introduction and Tools...
Learning Networks and Connective Knowledgeedtechtalk
The document discusses connective knowledge and learning networks. It makes three main points:
1. Knowledge is distributed, emerging from connections in networks rather than represented in individual minds. Concepts exist across interconnected units rather than in single locations.
2. Learning involves connecting specialized information sources. The ability to see connections between different fields and ideas is important. Nurturing connections facilitates continual learning.
3. Effective networks are decentralized, distributed, and disintermediated. Content and services are disaggregated and dynamic. The network encourages participation and emergence of patterns rather than top-down control.
The document discusses how social capital theory can help explain the social effects of the Internet. It argues that individuals and communities with higher levels of social capital, as measured by factors like generalized reciprocity and social ties, will be more socially active online as well as offline. Empirical evidence from studies in Los Angeles and of U.S. states supports this, finding those with more offline social connections and belonging were more likely to make online friends or participate in online groups. The document calls for more research examining social capital and online activity over time and across different communities.
Introduction to Social Network AnalysisPatti Anklam
This document provides an overview of network analysis and its applications. It discusses the origins and history of network study in fields like graph theory and sociology. Various network patterns and metrics are described, including density, distance, centrality, and structural measures. Case studies are presented on using network analysis to understand expertise management, trust, and performance issues in organizations. The document emphasizes that network analysis can provide insights through metrics and visualization to inform important business and organizational questions.
Social networks play a key role in shaping human behavior and outcomes. Research shows that individuals influence and are influenced by their social networks. Networks can spread emotions and behaviors through interconnection. Understanding social networks could inform public policy by revealing how small interventions may have large effects through network transmission. Further research is needed to better understand how values interact with different types of social networks and how to effectively impact networks to drive social change.
More than ever, we need to learn how to harness the power of networks to tackle the complex issues we're facing as a society. Here's a quick guide to the basics of social network analysis.
Interested? Sign up at http://kumu.io
Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, computers, URLs, and other connected information/knowledge entities. SNA provides both a visual and a mathematical analysis of human relationships.
Prof. Hendrik Speck - Social Network AnalysisHendrik Speck
The document discusses social networks and social network analysis. It provides definitions of social networks and describes how they can be visualized and analyzed. It also gives examples of popular social networks like MySpace and Facebook, and how people use different social media. Network analysis concepts like degrees of separation, Dunbar's number, and centrality measures are also introduced.
This presentation looks at how gamification taps into how our brains work. It focus on the role of reward schedules and uncertainty in creating engagement. It also briefly discusses whether or not the term 'gamification' itself is a fad or not.
NOTE: Apologies for the low image quality of the slides. The only way I was able to upload the deck without producing visual artifacts during the SlideShare conversion process was to upload each slide as an image :(
How Attention Works - Kyle Findlay - TNS GlobalIgnasi Pardo
How Attention Works. "Kyle Findlay", TNS Global.
1. How do we process our environment?
2. What is the path that stimuli go through?
3. What are the factors that capture our attention?
4. What about stimuli that we don’t consciously process?
Social Network Analysis for Competitive IntelligenceAugust Jackson
How can CI teams apply the concepts of social network analysis to gain insight into the capabilities and plans of their competitors? Presented by Jim Richardson and August Jackson in April 2007 at the Society of Competitive Intelligence Professionals annual conference in New York City.
The document discusses key concepts related to social networks and social networking sites. It defines social networks as networks formed by social ties that can be both personal networks and community networks. Social networking involves using one's social networks, often for professional advantage, and is supported by social networking sites. Social networking sites are primarily designed for managing personal social networks and making social ties explicit. The document also discusses issues like privacy, data ownership, and the structure and management of social networks and ties on social media platforms.
This short set of slides summarizes the characteristics of people who play specific roles in networks. In a social network analysis, people in these roles can be discovered by running mathematical algorithms through the social graphs. But you don't need to be an algorithm to spot some of these people in your networks!
Power no longer resides exclusively (if at all) in states, institutions, or large corporations. It is located in the networks that structure society. Social network analysis seeks to understand networks and their participants and has two main focuses: the actors and the relationships between them in a specific social context.
Visible Effort: A Social Entropy Methodology for Managing Computer-Mediated ...Sorin Adam Matei
A theoretically-grounded learning feedback tool suite, the Visible Effort (VE) Mediawiki extension, is proposed for optimizing online group learning activities by measuring the amount of equality and the emergence of social structure in groups that participate in Computer-Mediated Collaboration (CMC). Building on social entropy theory, drawn from Shannon’s Mathematical Theory of Communication, VE captures levels of CMC unevenness and group structure and visualizes them on wiki Web pages through background colors, charts, and tabular data. Visual information provides users entropic feedback on how balanced and equitable collaboration is within their online group are, while helping them to maintain it within optimal levels. Finally, we present the theoretical and practical implications of VE and the measures behind it, as well as illustrate VE’s capabilities by describing a quasi-experimental teaching activity (use scenario) in tandem with a detailed discussion of theoretical justification, methodological underpinning, and technological capabilities of the approach.
Community Evolution in the Digital Space and Creation of SocialInformation C...Saptarshi Ghosh
A social homogeneous group can be formed irrespective to geo-spatial contiguity and research reveals that interaction through online communication fosters social behaviours like teamwork, ties, bonding and trust building as well as community building.
Granovetter proposes that tie strength between two individuals can be measured as a linear combination of frequency of contact, emotional intensity, intimacy, and reciprocal services. He argues that weak ties (bridges) are important for transmitting information between groups. Weak ties create shorter paths for information to diffuse through a social network more quickly. People with many weak ties have access to more diverse information and opportunities through their role as "brokers" between groups.
Social Network Analysis power point presentation Ratnesh Shah
Basics of social network analysis,Application and also explain interesting study done by facebook , twitter, youtube and many more social media network ,slide contains some of interesting study to get knowledge about online social network analysis.
Practical Applications for Social Network Analysis in Public Sector Marketing...Mike Kujawski
This document provides an overview of a presentation on practical applications of social network analysis. It discusses the growth of social data, defines social network analysis, and provides several use cases. It then outlines the presentation topics which include basics of reading sociograms, refining data, and applying SNA to public sector marketing. Examples of SNA applications to specific organizations are provided. Both free and paid tools for conducting SNA are also mentioned.
This document outlines a research agenda for Web 3.0 technologies focusing on location awareness, ubiquitous collaboration, and their impacts. Key questions are proposed around how location-aware information delivery and contextualization in space affects memorability and knowledge organization, and how optimal collaboration structures can be measured and supported online to enhance learning, content production, and social outcomes. Relevant learning and social theories are discussed. Usability factors like task-fit and multimodal information are also addressed.
Social Network Analysis & an Introduction to ToolsPatti Anklam
This document provides an introduction to social network analysis. It discusses how networks can be mapped and analyzed using tools to understand their structure and flow of information. Key aspects of network analysis are introduced, including nodes, ties, centrality metrics, and structural patterns. A variety of tools are presented, ranging from free social media applications to specialized software, that can be used to map and analyze networks. The value of network analysis is in identifying influential individuals, improving collaboration and knowledge sharing, and intervening to change network structures and behaviors.
Part 1: Concepts and Cases (the language of networks, networks in organizations, case studies and key concepts)
Part 2: (Starts on #44) Mapping Organizational, Personal, and Enterprise Networks: Tools
An update to last year's Social Network Analysis Introduction and Tools...
Learning Networks and Connective Knowledgeedtechtalk
The document discusses connective knowledge and learning networks. It makes three main points:
1. Knowledge is distributed, emerging from connections in networks rather than represented in individual minds. Concepts exist across interconnected units rather than in single locations.
2. Learning involves connecting specialized information sources. The ability to see connections between different fields and ideas is important. Nurturing connections facilitates continual learning.
3. Effective networks are decentralized, distributed, and disintermediated. Content and services are disaggregated and dynamic. The network encourages participation and emergence of patterns rather than top-down control.
The document discusses how social capital theory can help explain the social effects of the Internet. It argues that individuals and communities with higher levels of social capital, as measured by factors like generalized reciprocity and social ties, will be more socially active online as well as offline. Empirical evidence from studies in Los Angeles and of U.S. states supports this, finding those with more offline social connections and belonging were more likely to make online friends or participate in online groups. The document calls for more research examining social capital and online activity over time and across different communities.
Introduction to Social Network AnalysisPatti Anklam
This document provides an overview of network analysis and its applications. It discusses the origins and history of network study in fields like graph theory and sociology. Various network patterns and metrics are described, including density, distance, centrality, and structural measures. Case studies are presented on using network analysis to understand expertise management, trust, and performance issues in organizations. The document emphasizes that network analysis can provide insights through metrics and visualization to inform important business and organizational questions.
Social networks play a key role in shaping human behavior and outcomes. Research shows that individuals influence and are influenced by their social networks. Networks can spread emotions and behaviors through interconnection. Understanding social networks could inform public policy by revealing how small interventions may have large effects through network transmission. Further research is needed to better understand how values interact with different types of social networks and how to effectively impact networks to drive social change.
More than ever, we need to learn how to harness the power of networks to tackle the complex issues we're facing as a society. Here's a quick guide to the basics of social network analysis.
Interested? Sign up at http://kumu.io
Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, computers, URLs, and other connected information/knowledge entities. SNA provides both a visual and a mathematical analysis of human relationships.
Prof. Hendrik Speck - Social Network AnalysisHendrik Speck
The document discusses social networks and social network analysis. It provides definitions of social networks and describes how they can be visualized and analyzed. It also gives examples of popular social networks like MySpace and Facebook, and how people use different social media. Network analysis concepts like degrees of separation, Dunbar's number, and centrality measures are also introduced.
This presentation looks at how gamification taps into how our brains work. It focus on the role of reward schedules and uncertainty in creating engagement. It also briefly discusses whether or not the term 'gamification' itself is a fad or not.
NOTE: Apologies for the low image quality of the slides. The only way I was able to upload the deck without producing visual artifacts during the SlideShare conversion process was to upload each slide as an image :(
How Attention Works - Kyle Findlay - TNS GlobalIgnasi Pardo
How Attention Works. "Kyle Findlay", TNS Global.
1. How do we process our environment?
2. What is the path that stimuli go through?
3. What are the factors that capture our attention?
4. What about stimuli that we don’t consciously process?
This document discusses the shapes of brand conversations on social media. It analyzes conversation maps of different brands on Twitter and finds that they exist on a continuum from centralized to decentralized. Centralized maps resemble a hub-and-spoke structure with one central account, while decentralized maps have an ecosystem of many interconnected accounts. The ideal structure depends on communication goals - centralized messaging maintains brand associations but decentralized ecosystems foster more engagement. Strategies for cultivating decentralized conversations include tapping enthusiast communities, using influencers and hashtags, and spurring two-way discussions rather than one-way sharing.
This document provides an introduction to power laws and discusses their properties. Power laws describe distributions where the frequency of values decreases as a power of the value. They often arise in natural and human-made systems. Some key points:
- Power laws follow a straight line when plotted on logarithmic scales, indicating the relationship p(x) = Cx-α.
- Exponents typically range from 2-3. Power laws often only apply above some minimum value xmin.
- Moments only exist when the exponent is greater than the moment order plus 1.
- Median and wealth distribution are determined by the exponent α. Power laws produce "scale-free" and "top-heavy" distributions.
-
An introduction to power law distributions, with a focus on branded markets.
Somewhat text-heavy by today's standards, but presentation was created in late 2007.
This document summarizes several theories of the firm, including:
1) Managerial theories propose that managers pursue maximum growth or sales revenue to increase their power, status, and job security rather than maximizing profits.
2) Baumol's theory suggests managers maximize sales subject to a minimum profit constraint.
3) Marris's theory argues managers maximize growth rates at the expense of future profits to satisfy their own utility functions.
4) Williamson's theory proposes managers maximize their own utility from variables like staff spending, benefits, and discretionary profits.
5) Cyert and March's behavioral theory defines the firm by its decision-making processes and argues managers set satisficing goals that reconcile various stakeholder interests
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This document discusses Gen, a 28-year-old Singaporean woman who is highly engaged with social media and digital technologies. It summarizes how Gen lives her life primarily through social networking apps and does not engage with traditional media like newspapers or radio. The document then discusses some of the key trends and concepts related to digital media, social networks, and their influence on society, including how information and behaviors spread through social networks, the benefits and risks of social media, and emerging trends like mobility and big data.
The emerging field of computational social science (CSS) is devoted to the pursuit of interdisciplinary social science research from an information processing perspective, through the medium of advanced computing and information technologies.
This document discusses networks and their effectiveness. It provides examples of how networks have been used to mobilize people, innovate, develop knowledge sharing and more. The document examines network structures and strategies for network development. Diagnostics are provided to assess network health in areas like purpose, leadership, communications and resource management. The document emphasizes that networks are changing how organizations work and advocates developing a "network mindset" and weaving approach to strengthen connections.
This document summarizes research conducted to identify emerging research fields at a university through community detection in scientific collaboration networks. The researchers created a scientific collaboration network using publication and grant data from 2011-2015, detected communities using the Louvain method, and identified keywords and topics for each community to determine emerging fields. They analyzed faculty profiles and conducted interviews to understand community characteristics and perceptions. The results provide insight into the composition and structure of emerging interdisciplinary research fields at the university.
This document summarizes a workshop on social networks and network weaving. The workshop introduced concepts of networks and their benefits for social change. Participants learned about characteristics of healthy networks and the role of network weavers. The goals of the workshop were to help participants work with a network mindset and understand network theory. Participants provided input on topics for future learning community sessions focused on network mapping and applying network weaving practices to address local issues in Monterey County.
This document discusses how networks are changing social change and provides lessons on working wikily. It defines networks and outlines their benefits, such as building community, engaging people, advocating for policy change, coordinating resources, developing and sharing knowledge, innovating, and getting initiatives to scale. The document also discusses characteristics of healthy networks, network leadership, challenges leaders face, and lessons learned about experimenting and balancing bottom-up and top-down strategies in networks.
Dr. Reijo Savolainen is a professor known for his research on Everyday Life Information Seeking (ELIS), which examines how social and cultural factors influence how people seek information in their daily lives to solve problems or stay informed. ELIS focuses on how gender, age, education and other attributes shape one's information behavior. It also considers concepts like people accepting "good enough" information to meet their needs before moving on.
Introduction of networks delivered to Unilever in July, 2013 and then updated for post-graduate students in 2014. Talk includes recent data on e-Commerce and mobility in Asia.
Many experts say the rise of embedded and wearable computing will bring the next revolution in digital technology. They say the upsides are enhanced health, convenience, productivity, safety, and more useful information for people/organizations. At KMWorld Confererence, Lee Rainie shares the latest findings from Pew Research about the internet and puts it into organizational context with the expanding Internet of Things.
Slightly updated for the end of 2015, these slides describe the How and Why of networks in the digital age. As I like to say, it is not about the shiny objects (e.g., Facebook, Instagram, or any other app). Thriving in a digital age means we need to understand how networks functions. Doing so allows us to plan our actions and communications more wisely.
The document discusses opportunities and challenges for studying vulnerable populations using computational social science methods in authoritarian states. While computational methods provide easier access to data and lower risks than traditional fieldwork, they also create new privacy and ethical issues. Analysis could potentially put people at risk of retaliation from authoritarian regimes. The document argues that given these challenges, researchers need to carefully consider how to protect vulnerable groups when using computational methods.
Social Network Analysis is a study of relationships and ties between nodes/actors in a network. It seeks to understand the structure of relationships and how an individual's position in a network affects opportunities and constraints. SNA can be used to map and analyze networks in fields like public health, national security, and design. It provides insights into topics like information diffusion, social influence, and identifying important actors. SNA tools help visualize networks and analyze metrics like centrality, density, and connectivity.
The document discusses a working session for Packard Foundation grantees about network effectiveness. It provides an overview of network structures and characteristics of healthy networks. The session goals are to understand network thinking, map networks, and discuss network effectiveness. Network structures can range from centralized to decentralized. Key characteristics of effective networks include clear purpose, member engagement, leadership, communication, and resource sharing. Challenges in networks include defining boundaries and building trust among participants.
The document discusses several key theories related to social networking and media effects. It summarizes:
1) Three commonly used media effects theories in political communication: framing theory, agenda-setting theory, and priming theory.
2) Four narrative persuasion theories: social judgement theory, elaboration likelihood model, cognitive dissonance theory, and narrative paradigm.
3) A brief history of major social networking sites from their inception in the 1970s to modern platforms like Facebook, Twitter, and Snapchat.
- The speaker discusses thinking in terms of networks and how it can inform policymaking. Networks represent relationships across entities and can be used to model many real-world systems from social networks to transportation networks.
- Behavior spreads through social networks in a process similar to contagion. Knowing the network structure allows policies to be targeted to high influence nodes for greater impact.
- Online interaction leaves network data that can be analyzed to understand how ideas and behaviors spread. The speaker uses their experience with an online participatory policy project to explore the network of conversations and interactions that emerged.
Mathematical Models of the Spread of Diseases, Opinions, Information, and Mis...Mason Porter
This is my general-audience talk at DiscCon III (2021 WorldCon).
My talk overlapped with the Hugo Award ceremony, but the video will be posted later on the DisCon website for attendees who want to see it.
Developing a PLN and open co-learning opportunities #UoRsocialmediaSue Beckingham
Developing your academic online presence with social media
Workshop at the University of Reading led by Sue Beckingham SFHEA, Senior Lecturer in Information Systems and LEAD Associate at Sheffield Hallam University, this workshop will provide an opportunity to learn about new approaches and practical examples of using social media in higher education; and as co-learners share examples of effective practice and consider how these might be applied in your own contexts. The session will also provide participants some time and space to network and potentially make new connections.
The workshop aims to provide participants with an opportunity to:
Gain a better understanding of how social media can be used in a scholarly context
Appreciate the value of developing a rich professional online presence
Learn about opportunities for social and open informal learning through social media
Appreciate five elements of ‘working out loud’ (Stepper 2015) and how these can be of value to both yourself and others
Using the 5C Framework (Nerantzi and Beckingham 2014, 2015) as a lens we will consider how social media can be used to connect, communicate, curate, collaborate and create. In doing so consider the value of:
Developing a digital professional persona to share scholarly achievements
Cultivating your own personal learning network and co-learning communities
Sharing learning journeys through working out loud
Programme
Tuesday 26 April 2016
10.45-11.00 Networking and registration
11.00-12.30 Becoming a Digital Scholar using social media
12.30-13.15 Lunch
13.15 -14.30 Developing a PLN and open co-learning opportunities
The document discusses three potential divides that may emerge in big data research: 1) between developed and developing countries, 2) between academic and commercial sector researchers, and 3) between researchers with strong computational skills versus those with less computational skills. It provides examples of methods used in different country/region contexts and notes a critique of big data research around issues like changing definitions of knowledge, misleading claims of objectivity/accuracy, and new digital divides around data access.
Presented at IZEAfest in Orlando, FL
Social network and sharing analysis including:
+Document analysis at scale: Meme tracking combined with other variables like sentiment and bias
+Social network at scale: Information cascades and virality, inference of social networks given meme-like information as contagions
+The node level perspective and its effects on what an individual sees and shares: Illusions, effort and overload, topics, personality and demographics
+Personas and segmentation: Grouping based on demographics and interests
The document discusses two books: "Nudge" which proposes influencing individual decisions through libertarian paternalism like default options and framing, and "Connected" which examines how social networks shape individuals and emergent properties arise from interactions. It provides examples of how behaviors like obesity, smoking and happiness can spread in social networks. Both approaches could inform policy, though "Connected" looks at influencing groups while "Nudge" focuses on individuals, and "Connected" may be more complex to apply due to unique network dynamics in different areas.
Similaire à Network Theory: A Brief Introduction june 2012 (20)
The document discusses 5 major trends that are disrupting the travel industry: 1) the experience economy, 2) automation, 3) collaborative intelligence, 4) digital marketing and the power of crowds, and 5) the need for reskilling workers. It explains how these trends are changing how travelers book trips and the skills needed for travel agents. The document advises travel agents to measure their digital readiness, invest in developing digital skills, and read about digital transformation to adapt to the changing industry.
The document discusses how digital networks and social media impact individuals and society. It notes that social networks allow information like emotions, behaviors, and political views to spread from person to person through connections. However, constant connectivity through devices can reduce cognitive ability and increase social isolation as networks become more homogeneous. While networks provide benefits like sharing information, they also compete for limited attention and can expose users to manipulation if prominent voices are not diverse. Overall, the document examines both upsides and downsides of living in a highly networked digital world.
ASEAN Leadership Model (research funded by SMU Executive Development)Michael Netzley, Ph.D.
With the creation of the AEC in 2015, companies have increased incentive to look at ASEAN for growth. But what leadership model should companies invest in? Given the context of ASEAN, we cannot simply import a model from Europe or USA. This presentation shares a first look at SMU's ASEAN leadership model and presents the initial findings of our CEO interviews. Research was funded by SMU's Executive Development Office.
The document provides an agenda and overview for a presentation on leading practices in leadership and management. The presentation covers the differences between leadership and management, management essentials like agenda setting and network building, an example case study, leadership essentials on influence without authority and building a talent pipeline, and introducing a simple strategy framework. The presenter is then introduced, including their background and experience working with various clients. [/SUMMARY]
A brief discussion of why neurosciences can add to our understanding of leadership. The talk includes 6 refined insights about the brain, and includes a short example of both motivation and change management. Ultimately, those in leadership development can use these insights to better optimise our development efforts.
This document discusses employee engagement and provides recommendations for improving it. It finds that only 1 in 10 employees are actively engaged, leading to lower productivity. Highly engaged organizations see double the success and lower absenteeism. The top drivers of engagement are recognition, support, future vision, trust, communication, and growth opportunities. To improve engagement, organizations should measure the right engagement metrics, ensure good communication from leadership to embed purpose, and focus on building an irresistible culture with strategic talent practices.
This document summarizes Michael Netzley's presentation on Napoleon's 1812 invasion of Russia. Some key points:
- In 1812, Napoleon led the Grande Armee of 680,000 French soldiers into Russia to defeat the Russian army of 200,000 men.
- After reaching Moscow in September, the Russians had abandoned the city and set it ablaze. Napoleon was forced to retreat in October with only 100,000 surviving soldiers.
- On the march back to France, the French army suffered tremendously from exposure to the early winter as well as starvation. This disastrous campaign marked the beginning of Napoleon's decline in power.
Michael Netzley, PhD is the Academic Director of SMU's Executive Development office where he delivers courses on leadership, implementation, change management, strategy, and digital media. He currently serves as the faculty programme director for two of SMU's programs - Aligning to Win: Excellence in Strategic Implementation and Change Management and the EXCELerator Leadership Programme. Previously, he was faculty director of the Wharton-SMU Strategic Leadership and Change Management Program. The document discusses leadership branding and assessing leaders against an organization's leadership brand. It provides five steps for evaluating leadership brand and ensuring it represents the organization well to stakeholders.
The document discusses how cloud computing and digital networks can drive business model innovation. It introduces a cloud enablement framework that categorizes companies based on how their use of cloud impacts value propositions and value chains. Companies are classified as optimizers, innovators, or disruptors. Optimizers use cloud to incrementally enhance customer value, innovators significantly increase customer value through new revenue streams, and disruptors invent new value propositions by creating customer needs they were unaware of. Examples of each category are provided.
Opening slides for my post graduated course in digital media. Introduces the 4 media ages, and then talks through Prof. Clay Shirky's Means, Motive and Opportunity in order to help students understand why digital media is so different.
A talk provoking forward thinking with regards to social media, mobile, and mobile payments. What are the opportunities for tapping into networks and advancing marketing & PR alongside the rise of mobile payments?
The document discusses how social media usage trends in Singapore show that charities need to adapt their social media strategies to be where their stakeholders are and engage in more passive content consumption behaviors. It recommends that charities begin with developing a wise content strategy and explore new behaviors on social media platforms to help solve problems, lower costs, expand resources, and leverage the influence of peer messages.
Delivered to Singapore's Ministry of Education on April 13, 2011. Focus is on social media: Singapore's media landscape, real-time communication and expectations, and cloud computing. Student examples at end.
Multinational companies are struggling to attract and retain senior Chinese managers. Younger generations of workers in China and Asia have different characteristics that influence how companies manage talent. The document discusses the traits of Generations X and Y, noting that Gen Y expects speed, stimulation, technology access, and relevance to their lives and roles. It provides comparisons between the two generations in areas like style, content preferences, attitudes towards work, and expectations of communication.
This document summarizes digital media usage across Asia based on research conducted by Michael Netzley. It begins by noting the diversity within Asia and issues with viewing it through a Western lens. It then provides statistics on internet penetration rates in various Asian countries, showing China and South Korea as leaders. National social networks, search engines, and communication tools are also described as varying by country. Survey results from Singapore are presented showing differences in online behaviors by age. Reasons for going online and issues like internet blocking are also briefly discussed.
Dr. Michael Netzley presented on digital media across Asia. He discussed how social media has democratized media by putting content creation and distribution in the hands of many. Rapid communication allows messages to spread widely through social networks. Social media also provides better and faster access to information. However, effective strategies require balanced risk assessment, being data-driven, measuring objectives, and connecting with people rather than just broadcasting messages. Examples from South Korea on US beef imports and social media use by Singaporeans were provided to illustrate these points.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
14. Harvard Med School: Emotions Spread
Through Large Social Networks
Conclusion: People’s happiness
depends on the happiness of others
with whom they are connected. This
provides further justification for seeing
happiness, like health, as a collective
phenomenon.
- British Medical Journal 337 (2008)
Fowler and Christakis
15. Harvard Med School: Obesity Spreads
Through Large Social Networks
“You may not know him personally,
but your friend’s husband’s coworker
can make you fat. And your sister’s
friend’s boyfriend can make you thin.”
- Fowler and Christakis (2009)
Connected
16. Harvard Political Scientist:
Why Americans Vote
If you vote, then it increases the
likelihood that your friend’s friend will
also vote….Instead of each of us
having only one vote, we effectively
have several and therefore much
more likely to influence the
outcome.
- Fowler and Christakis (2009)
Connected
25. Mark Granovetter & Weak Ties
• The Strength of Weak Ties
• #7 globally in Social
Science Citation Index,
2000-2010
• Action is enabled &
constrained by social ties
between people
• Where in the network
matters (embedded)
28. Weak Ties: Defined
weak ties (acquaintances,
not close friends) enable
reaching populations and
audiences that are not
accessible via strong ties.
29. When to Use Weak Ties
• Speed of Distribution
• Less Dependent on Others
• Reach Distant Targets with Whom We are
not Connected
• Innovative Ideas or Models
• Episodic Information Flows
• Bridge Diverse Groups
30. When to Use Strong Ties
• Urgent Situation
• Dependency for Well Being
• Decision Making
• Ethos-Based Infuence
• Acess: Doors Opened
• Regular Information Flows
• Change Target’s Values
32. Manuel Castells
• The Rise of the Network
Society
• #5 globally in Social
Science Citation Index,
2000-2010
• Power now rests in
networks: “the logic of the
network is more powerful
than the powers of the
network”
33. Basic Idea
A network society is a society where the key social
structures and activities are organized around
electronically processed information networks. So it's
not just about networks or social networks, because
social networks have been very old forms of social
organization. It's about social networks which process
and manage information and are using micro-electronic
based technologies.
Source
34. Society remains capitalist, but basis of the technological means by
which it acts has changed from energy to information. This information
is of central importance in determining economic productivity.
Communications technologies allow for the annihilation of space and
for globalization; the potential for rapid and asynchronous
communication also changes the relationship to time. And, while he
explains that networks are not a new form of social organization, they
have become a “key feature of social morphology” (2000a, p. 5). This
is because communication technologies, such as the Internet, allow
for decentralization of operations and focusing of control, increasing
the effectiveness of networks relative to hierarchical structures. Of
business he writes, “[t]he main shift can be characterized as the shift
from vertical bureaucracies to the horizontal corporation” (2000b, p.
176).
Source
37. How We Now Organize
Societal elites are now much less
connected to cities [places], and are
instead connected to information
flows. Thus, the network serves as
our organizing principle.
50. Tipping Point for Ideas: Just 10%?
Scientists at Rensselaer Polytechnic Institute
have found that when just 10 percent of the
population holds an unshakable belief, their
belief will always be adopted by the majority of
the society.
• Social Cognitive Networks Academic Research Center
(SCNARC)
• journal Physical Review E in an article titled “Social
consensus through the influence of committed
minorities.” Source