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SOCIAL
NETWORKS
Index
Introduction to Social Network
Social Network and KMS
Social Network Analysis
Application of Social Network Analysis
Technology – LinkedIn
Future of Social Networks.
References
Everybody talks about Networks?


Networked          Ego
Economy          Networks                                               Regional
                                             Networking
                                                                        Networks



                                   Social
                                  Networks




     National
    Innovation                                    Entrepreneurial
     Networks                                       Networks

                            Immigrant                               Infrastructure
                            Networks                                  Networks
Social Networks
How do you explain to say somebody
what Social Network is? What Social
Network Analysis is?

                   Network Analysis is the keyword
                   For the 21st Century

                   Researchers , Politicians , People talk
                   about Networks around you.

                   How do you explain what network is?
What is a Network?
                                                        node
                                                                      Lin
                                                                            k



                                                 node   node   node

                            node                                                       node

               node                   node


                                                        node
                            node                                                       node
              node                        node

                                                                                node          node

                     node          node




Web Definition : A set of nodes, points, or locations connected by means of
                      data, voice, and video communications for the purpose of
                      exchange.
Social Networks

A social network is a description
of the social structure between
actors, mostly individuals or
organizations. It indicates the
ways in which they are connected
through various social familiarities
ranging from casual acquaintance
to close familiar bonds.
Social networks and KMS
 Why Social Networks
 in KMS?

                                 People



                                  KM
                                       Organization
                    Technology
                                       Processes




Knowledge Management involves people, technology, and processes in
Overlapping parts.
Social Networks and KMS
   Why are we studying
   Social Networks ?                                  Social
                                                     Networks




What ties Information Architecture,
Knowledge Management and
Social Network Analysis more
                                                                 Knowledge
closely together is the reciprocal    Information
                                      Architecture
                                                                Management
                                                                  Systems
relationship between people and
content.
Social Network Analysis
Social network analysis [SNA] is the mapping and measuring of
relationships and flows between people, groups, organizations,
computers or other information/knowledge processing entities.

The nodes in the network are the people and groups while the
links show relationships or flows between the nodes.
Social Network Analysis
       We measure Social Network in terms of:

1. Degree Centrality:
          The number of direct connections a node has. What really matters is where
          those connections lead to and how they connect the otherwise
          unconnected.
2. Betweenness Centrality:
          A node with high betweenness has great influence over what flows in the
          network indicating important links and single point of failure.
3. Closeness Centrality:
          The measure of closeness of a node which are close to everyone else.
          The pattern of the direct and indirect ties allows the nodes any other node in
                      the network more quickly than anyone else. They have the
    shortest paths to           all others.
Exercise on SNA: Kite Network




                      By David Krackhardt
Exercise on SNA: Kite Network
Who is the Connecter or Hub in the
Network?
Who has control over what flows in the
Network?
Who has best visibility of what is
happening in the Network?
Who are peripheral players? Are they
Important?
SNA and KMS:
SNA helps in analyzing the following facts in a KMS:

Bottlenecks - Central nodes that provide the only
connection between different parts of the network.

Number of links - Insufficient or excessive links between
departments that must coordinate effectively.

Average distance - Degrees of separation connecting all
pairs of nodes in the group.


                 From Secondary Reading - IBM Institute for Business Value Publication
SNA and KMS (2)
Short distances transmit information accurately and in a
timely way, while long distances transmit slowly and can
distort the information.

Isolation - People that are not integrated well into a
group and therefore, represent both untapped skills and
a high likelihood of turnover.

Highly expert people - Not being utilized appropriately.

Organizational subgroups or cliques - Can develop their
own subcultures and negative attitudes toward other
groups.
Application of SNA:
Realizing 9/11 Al- Qaeda Network.
Build a grass roots political campaign.
Determine influential journalists and analysts in
the IT industry.
Map executive's personal network based on
email flows.
Discover the network of Innovators in a regional
economy.
Analyze book selling patterns to position a new
book and many more……
Technology
     Various technologies that help in creating
     Social Networks are:

3)   Email
4)   Blogs
5)   Social Networking Software like Orkut,
     LinkedIn etc.
Technology : LinkedIn
What is Your Network?
When your connections invite their connections, your Network
starts to grow.
Your Network is your connections, their connections, and so on out
from you at the center.

How do you classify users?
Your Network contains professionals out to “three degrees” — that
is, friends-of-friends-of-friends. If each person had 10 connections
(and some have many more) then your network would contain
10,000 professionals.

How do you see who is in your Network?
LinkedIn lets you see your network as one large group of
searchable professional profiles.
Technology: LinkedIn (1)
Technology: LinkedIn (2)




    How to find people you need ?
Technology : LinkedIn (3)
        Finding Jobs
Technology: LinkedIn (4)
     ENDORSEMENTS: A New and Useful Feature
Future of SNA
 SNA could help us in following ways in
 future:

1)   Reducing Complexity

2) Visualizing using Geographic
   Information Modeling
Reducing Complexity
Our Social Networks can be understood at one glance




                                    Reduced Complexity through
Organization on Web
                                    Simulation Analysis and Complex
                                    Theory for solving graphs
Geographic Information
      Modeling

             B
     A
                     D
         C

                                     Q
         E


                             X

                                 Z
                         Y



             Key Players
References
“How to do Social Network Analysis?”-Retrieved from
-http://www.orgnet.com/sna.html
Cross, R., Parker, A. and Borgatti, S.
A bird's eye view: Using Social Network Analysis to Improve Knowledge C
. IBM Institute for Business Value Publication.
J.C.Thomas, W.A Kellogg, T. Erickson, “The Knowledge
Management Puzzle: Human and social factors in Knowledge
Management”. IBM Systems Journal. Volume 40. Number 4.2001
Wellman, B. (1996)
For a Social Network Analysis of Computer Networks: A Sociological Pers
 Proceedings of SIGCPR/SIGMIS. Denver, CO. ACM Press.
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Social networks based on amit sharma report

  • 2. Index Introduction to Social Network Social Network and KMS Social Network Analysis Application of Social Network Analysis Technology – LinkedIn Future of Social Networks. References
  • 3. Everybody talks about Networks? Networked Ego Economy Networks Regional Networking Networks Social Networks National Innovation Entrepreneurial Networks Networks Immigrant Infrastructure Networks Networks
  • 4. Social Networks How do you explain to say somebody what Social Network is? What Social Network Analysis is? Network Analysis is the keyword For the 21st Century Researchers , Politicians , People talk about Networks around you. How do you explain what network is?
  • 5. What is a Network? node Lin k node node node node node node node node node node node node node node node node Web Definition : A set of nodes, points, or locations connected by means of data, voice, and video communications for the purpose of exchange.
  • 6. Social Networks A social network is a description of the social structure between actors, mostly individuals or organizations. It indicates the ways in which they are connected through various social familiarities ranging from casual acquaintance to close familiar bonds.
  • 7. Social networks and KMS Why Social Networks in KMS? People KM Organization Technology Processes Knowledge Management involves people, technology, and processes in Overlapping parts.
  • 8. Social Networks and KMS Why are we studying Social Networks ? Social Networks What ties Information Architecture, Knowledge Management and Social Network Analysis more Knowledge closely together is the reciprocal Information Architecture Management Systems relationship between people and content.
  • 9. Social Network Analysis Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, computers or other information/knowledge processing entities. The nodes in the network are the people and groups while the links show relationships or flows between the nodes.
  • 10. Social Network Analysis We measure Social Network in terms of: 1. Degree Centrality: The number of direct connections a node has. What really matters is where those connections lead to and how they connect the otherwise unconnected. 2. Betweenness Centrality: A node with high betweenness has great influence over what flows in the network indicating important links and single point of failure. 3. Closeness Centrality: The measure of closeness of a node which are close to everyone else. The pattern of the direct and indirect ties allows the nodes any other node in the network more quickly than anyone else. They have the shortest paths to all others.
  • 11. Exercise on SNA: Kite Network By David Krackhardt
  • 12. Exercise on SNA: Kite Network Who is the Connecter or Hub in the Network? Who has control over what flows in the Network? Who has best visibility of what is happening in the Network? Who are peripheral players? Are they Important?
  • 13. SNA and KMS: SNA helps in analyzing the following facts in a KMS: Bottlenecks - Central nodes that provide the only connection between different parts of the network. Number of links - Insufficient or excessive links between departments that must coordinate effectively. Average distance - Degrees of separation connecting all pairs of nodes in the group. From Secondary Reading - IBM Institute for Business Value Publication
  • 14. SNA and KMS (2) Short distances transmit information accurately and in a timely way, while long distances transmit slowly and can distort the information. Isolation - People that are not integrated well into a group and therefore, represent both untapped skills and a high likelihood of turnover. Highly expert people - Not being utilized appropriately. Organizational subgroups or cliques - Can develop their own subcultures and negative attitudes toward other groups.
  • 15. Application of SNA: Realizing 9/11 Al- Qaeda Network. Build a grass roots political campaign. Determine influential journalists and analysts in the IT industry. Map executive's personal network based on email flows. Discover the network of Innovators in a regional economy. Analyze book selling patterns to position a new book and many more……
  • 16. Technology Various technologies that help in creating Social Networks are: 3) Email 4) Blogs 5) Social Networking Software like Orkut, LinkedIn etc.
  • 17. Technology : LinkedIn What is Your Network? When your connections invite their connections, your Network starts to grow. Your Network is your connections, their connections, and so on out from you at the center. How do you classify users? Your Network contains professionals out to “three degrees” — that is, friends-of-friends-of-friends. If each person had 10 connections (and some have many more) then your network would contain 10,000 professionals. How do you see who is in your Network? LinkedIn lets you see your network as one large group of searchable professional profiles.
  • 19. Technology: LinkedIn (2) How to find people you need ?
  • 20. Technology : LinkedIn (3) Finding Jobs
  • 21. Technology: LinkedIn (4) ENDORSEMENTS: A New and Useful Feature
  • 22. Future of SNA SNA could help us in following ways in future: 1) Reducing Complexity 2) Visualizing using Geographic Information Modeling
  • 23. Reducing Complexity Our Social Networks can be understood at one glance Reduced Complexity through Organization on Web Simulation Analysis and Complex Theory for solving graphs
  • 24. Geographic Information Modeling B A D C Q E X Z Y Key Players
  • 25. References “How to do Social Network Analysis?”-Retrieved from -http://www.orgnet.com/sna.html Cross, R., Parker, A. and Borgatti, S. A bird's eye view: Using Social Network Analysis to Improve Knowledge C . IBM Institute for Business Value Publication. J.C.Thomas, W.A Kellogg, T. Erickson, “The Knowledge Management Puzzle: Human and social factors in Knowledge Management”. IBM Systems Journal. Volume 40. Number 4.2001 Wellman, B. (1996) For a Social Network Analysis of Computer Networks: A Sociological Pers Proceedings of SIGCPR/SIGMIS. Denver, CO. ACM Press.