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Making the invisible visible through  Social Network Analysis Shalini Urs International School of Information Management University of Mysore, Mysore, India [email_address] CAMP 2010 - March 18, Shah Alam, Malaysia
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Networks are the talk of town ... ... since we're living in a world of relations Networks seem to be everywhere. Games about connectivity (Six Degrees of Kevin Bacon); understanding dynamics of food networks, World Wide Web, terrorist network to structure of collaboration networks
The Alibaba dataset- SNA Analysis Alibaba Scn 1: discover the plot. Alibaba Scenario 1: SNA (cluster analysis) Results: Alibaba Network Discovery. Robert Savell,  SBP ‘08  April 1,2008 & Process Query Systems Group
Flickr Network
Social Networks ,[object Object],[object Object],[object Object]
Social network as a graph A set of actors connected by ties ,[object Object],[object Object],[object Object],Tie ,[object Object],[object Object],[object Object],Actor
Why study social networks ? ,[object Object],[object Object]
Early history of SNA  ,[object Object],[object Object],[object Object],[object Object],[object Object]
Small World Phenomenon ,[object Object],[object Object],[object Object]
Some early empirical studies  ,[object Object],[object Object],[object Object]
Early empirical studies … ,[object Object],[object Object],[object Object],[object Object]
Erdos Number ,[object Object],[object Object],[object Object]
What does SNA do ? ,[object Object],[object Object],[object Object]
SNA– the discipline  ,[object Object],[object Object],[object Object],[object Object]
SNA – the academic lineage  ,[object Object],[object Object],[object Object]
Psychology and shaping of SNA  ,[object Object],[object Object],[object Object]
Anthropology  and SNA   ,[object Object],[object Object],[object Object]
Mathematics, physics and others  ,[object Object],[object Object],[object Object],[object Object],[object Object]
Graph Theory and SNA  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Graph Theory and SNA The above graph  has- vertex set V={a,b,c,d,e.f}  and edge set E = {(a,b),(b,c),(c,d),(c,e),(d,e),(e,f)}. Two vertices  u  and  v  are  adjacent  if there exists an edge ( u,v ) that connects them. An edge e = (u,u) that links a vertex to itself is known as a  self-loop  or  reflexive  tie.  The number of vertices in a graph is usually denoted  n  while the number of edges is usually denoted  m
SNA Applications  ,[object Object],[object Object],[object Object],[object Object],[object Object]
SNA … ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Turning Points and Social Change By measuring the patterns of interaction and communication among members of a network, one can uncover the origins of ideas and social change.  There is increasing interest in linking the distribution of cultural ideas and practices to social communities  Studies have been carried out to assess the relationship between network dynamics and community “readiness” to engage in the social change processes.
Case studies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Case studies  ,[object Object],[object Object],[object Object],[object Object]
Valdis Krebs(2002)-Terrorist network map
Circle of Influence  ,[object Object],[object Object]
Web 2.0 and Social and professional networks  ,[object Object],[object Object],[object Object]
Information flows in information spaces ,[object Object],[object Object],[object Object],[object Object]
Understanding information flows ,[object Object],[object Object]
Scholarly communities and networks ,[object Object],[object Object]
Scholarship and Publishing  ,[object Object],[object Object],[object Object]
Data deluge and end of scientific theory  ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object]
Science of Networks and Network of Science   ,[object Object],[object Object],[object Object],[object Object]
The Network of Science ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],Academic Scholarship
Network Properties   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Centrality ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Components ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Geodesic ,[object Object],[object Object],[object Object],[object Object],[object Object]
Ego Networks ,[object Object],[object Object],[object Object]
SNA Tools ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Science of networks – challenges  ,[object Object],[object Object],[object Object]
Dynamic Network Analysis ( DNA) ,[object Object],[object Object],[object Object],[object Object],[object Object]
DNA – Challenges  ,[object Object],[object Object]
Author Collaboration and SNA ,[object Object],[object Object]
Co-authorship network - Definition ,[object Object],[object Object],[object Object],[object Object]
Our study  ,[object Object],[object Object]
Our data sets  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Co-authorship network of authors in the field of digital library ,[object Object],SlNo. Author Acronym WoS  (RC) DBLP (RC) DBLP (CC) 1 Edward A. Fox EF 25 195 261 2 Ian H. Witten IW 15 157 97 3 Hsinchun Chen HC 13 220 209 4 David Bainbridge DB 9 50 52 5 Norbert Fuhr NF 9 119 121 6 Kurt Maly KM 9 100 134 7 Mohammad Zubair MZ 9 55 81 8 Nabil R. Adam NA 8 63 62 9 Marcos Andr é  Gon ç alves MA 8 55 70 10 Ee-Peng Lim EL 8 160 123 11 Michael L. Nelson ML 8 61 80   Ranked 1st  
Coauthorship network between 11 top authors with coauthors
Coauthorship network between 11 top authors
Components of Digital Library community
Degree centrality of top 11 authors
Betweenness centrality of top11 authors
Some Findings  ,[object Object],[object Object]
Co-authorship network of D-Lib and JODL research community
DL Network Dynamics ,[object Object],[object Object],[object Object]
DL network dynamics … ,[object Object],[object Object],[object Object],[object Object]
Editorial Board Network of DL Journals – the circle of influence ,[object Object],[object Object],[object Object]
Network of Editors and the its components
DL – Circle of Influence  ,[object Object],[object Object],[object Object]
DL Network :CiteSeer Community  ,[object Object],[object Object],[object Object],[object Object]
CiteSeer Community
CiteSeer - results ,[object Object],[object Object],[object Object]
Conclusions ,[object Object],[object Object],[object Object],[object Object]
THANK YOU Thank you

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Making the invisible visible through SNA

  • 1. Making the invisible visible through Social Network Analysis Shalini Urs International School of Information Management University of Mysore, Mysore, India [email_address] CAMP 2010 - March 18, Shah Alam, Malaysia
  • 2.
  • 3. Networks are the talk of town ... ... since we're living in a world of relations Networks seem to be everywhere. Games about connectivity (Six Degrees of Kevin Bacon); understanding dynamics of food networks, World Wide Web, terrorist network to structure of collaboration networks
  • 4. The Alibaba dataset- SNA Analysis Alibaba Scn 1: discover the plot. Alibaba Scenario 1: SNA (cluster analysis) Results: Alibaba Network Discovery. Robert Savell, SBP ‘08 April 1,2008 & Process Query Systems Group
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21. Graph Theory and SNA The above graph has- vertex set V={a,b,c,d,e.f} and edge set E = {(a,b),(b,c),(c,d),(c,e),(d,e),(e,f)}. Two vertices u and v are adjacent if there exists an edge ( u,v ) that connects them. An edge e = (u,u) that links a vertex to itself is known as a self-loop or reflexive tie. The number of vertices in a graph is usually denoted n while the number of edges is usually denoted m
  • 22.
  • 23.
  • 24. Turning Points and Social Change By measuring the patterns of interaction and communication among members of a network, one can uncover the origins of ideas and social change. There is increasing interest in linking the distribution of cultural ideas and practices to social communities Studies have been carried out to assess the relationship between network dynamics and community “readiness” to engage in the social change processes.
  • 25.
  • 26.
  • 28.
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.
  • 37.
  • 38.
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  • 41.
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  • 43.
  • 44.
  • 45.
  • 46.
  • 47.
  • 48.
  • 49.
  • 50.
  • 51.
  • 52.
  • 53. Coauthorship network between 11 top authors with coauthors
  • 55. Components of Digital Library community
  • 56. Degree centrality of top 11 authors
  • 57. Betweenness centrality of top11 authors
  • 58.
  • 59. Co-authorship network of D-Lib and JODL research community
  • 60.
  • 61.
  • 62.
  • 63. Network of Editors and the its components
  • 64.
  • 65.
  • 67.
  • 68.

Notes de l'éditeur

  1. Refer to social networks here Began with Jacob Levy Moreno in the 1930s in attempt to quantify social relationships. Based on matrix algebra. Advanced statistics… Nodes can be people, departments, or organizations Networks consist of links that form a structure Links between nodes have different purposes , e.g., task or general advice, expertise, strategic information, navigating the organization (procedures, know-who, etc.) Links can be one or two directional Links can be both formal and informal Links can have different strengths
  2. Kohler (1925) is about how the mind works ; stressed the organized patterns that structure thoughts and