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Sharma social networks


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Sharma social networks

  1. 1. SOCIALNETWORKS Amit Sharma INF -38FQ School of InformationUniversity of Texas at Austin
  2. 2. IndexIntroduction to Social NetworkSocial Network and KMSSocial Network AnalysisApplication of Social Network AnalysisTechnology – LinkedInFuture of Social Networks.References
  3. 3. Everybody talks about Networks?Networked EgoEconomy Networks Regional Networking Networks Social Networks National Innovation Entrepreneurial Networks Networks Immigrant Infrastructure Networks Networks
  4. 4. Social NetworksHow do you explain to say somebodywhat Social Network is? What SocialNetwork 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. 5. What is a Network? node Lin k node node node node node node node node node node node node node node node nodeWeb Definition : A set of nodes, points, or locations connected by means of data, voice, and video communications for the purpose of exchange.
  6. 6. Social NetworksA social network is a descriptionof the social structure betweenactors, mostly individuals ororganizations. It indicates theways in which they are connectedthrough various social familiaritiesranging from casual acquaintanceto close familiar bonds.
  7. 7. Social networks and KMS Why Social Networks in KMS? People KM Organization Technology ProcessesKnowledge Management involves people, technology, and processes inOverlapping parts.
  8. 8. Social Networks and KMS Why are we studying Social Networks ? Social NetworksWhat ties Information Architecture,Knowledge Management andSocial Network Analysis more Knowledgeclosely together is the reciprocal Information Architecture Management Systemsrelationship between people andcontent.
  9. 9. Social Network AnalysisSocial network analysis [SNA] is the mapping and measuring ofrelationships and flows between people, groups, organizations,computers or other information/knowledge processing entities.The nodes in the network are the people and groups while thelinks show relationships or flows between the nodes.
  10. 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. 11. Exercise on SNA: Kite Network By David Krackhardt
  12. 12. Exercise on SNA: Kite NetworkWho is the Connecter or Hub in theNetwork?Who has control over what flows in theNetwork?Who has best visibility of what ishappening in the Network?Who are peripheral players? Are theyImportant?
  13. 13. SNA and KMS:SNA helps in analyzing the following facts in a KMS:Bottlenecks - Central nodes that provide the onlyconnection between different parts of the network.Number of links - Insufficient or excessive links betweendepartments that must coordinate effectively.Average distance - Degrees of separation connecting allpairs of nodes in the group. From Secondary Reading - IBM Institute for Business Value Publication
  14. 14. SNA and KMS (2)Short distances transmit information accurately and in atimely way, while long distances transmit slowly and candistort the information.Isolation - People that are not integrated well into agroup and therefore, represent both untapped skills anda high likelihood of turnover.Highly expert people - Not being utilized appropriately.Organizational subgroups or cliques - Can develop theirown subcultures and negative attitudes toward othergroups.
  15. 15. Application of SNA:Realizing 9/11 Al- Qaeda Network.Build a grass roots political campaign.Determine influential journalists and analysts inthe IT industry.Map executives personal network based onemail flows.Discover the network of Innovators in a regionaleconomy.Analyze book selling patterns to position a newbook and many more……
  16. 16. Technology Various technologies that help in creating Social Networks are:3) Email4) Blogs5) Social Networking Software like Orkut, LinkedIn etc.
  17. 17. Technology : LinkedInWhat is Your Network?When your connections invite their connections, your Networkstarts to grow.Your Network is your connections, their connections, and so on outfrom you at the center.How do you classify users?Your Network contains professionals out to “three degrees” — thatis, friends-of-friends-of-friends. If each person had 10 connections(and some have many more) then your network would contain10,000 professionals.How do you see who is in your Network?LinkedIn lets you see your network as one large group ofsearchable professional profiles.
  18. 18. Technology: LinkedIn (1)
  19. 19. Technology: LinkedIn (2) How to find people you need ?
  20. 20. Technology : LinkedIn (3) Finding Jobs
  21. 21. Technology: LinkedIn (4) ENDORSEMENTS: A New and Useful Feature
  22. 22. Future of SNA SNA could help us in following ways in future:1) Reducing Complexity2) Visualizing using Geographic Information Modeling
  23. 23. Reducing ComplexityOur Social Networks can be understood at one glance Reduced Complexity throughOrganization on Web Simulation Analysis and Complex Theory for solving graphs
  24. 24. Geographic Information Modeling B A D C Q E X Z Y Key Players
  25. 25. References“How to do Social Network Analysis?”-Retrieved from-, R., Parker, A. and Borgatti, S.A birds 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 KnowledgeManagement Puzzle: Human and social factors in KnowledgeManagement”. IBM Systems Journal. Volume 40. Number 4.2001Wellman, B. (1996)For a Social Network Analysis of Computer Networks: A Sociological Pers Proceedings of SIGCPR/SIGMIS. Denver, CO. ACM Press.
  26. 26. Questions??