Sharma : social networks

  • 116 views
Uploaded on

Social networks …

Social networks

A. Sharma

More in: Education
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
    Be the first to like this
No Downloads

Views

Total Views
116
On Slideshare
0
From Embeds
0
Number of Embeds
0

Actions

Shares
Downloads
2
Comments
0
Likes
0

Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide

Transcript

  • 1. SOCIALSOCIAL NETWORKSNETWORKS Amit SharmaAmit Sharma INF -38FQINF -38FQ School of InformationSchool of Information University of Texas at AustinUniversity of Texas at Austin
  • 2. IndexIndex Introduction to Social NetworkIntroduction to Social Network Social Network and KMSSocial Network and KMS Social Network AnalysisSocial Network Analysis Application of Social Network AnalysisApplication of Social Network Analysis Technology – LinkedInTechnology – LinkedIn Future of Social Networks.Future of Social Networks. ReferencesReferences
  • 3. Everybody talks about Networks?Everybody talks about Networks? Networked Economy Immigrant Networks National Innovation Networks Networking Entrepreneurial Networks Ego Networks Regional Networks Infrastructure Networks Social Networks
  • 4. Social NetworksSocial Networks How do you explain to say somebodyHow do you explain to say somebody what Social Network is? What Socialwhat Social Network is? What Social Network Analysis is?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?What is a Network? node 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. Link
  • 6. Social NetworksSocial 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 KMSSocial networks and KMS Why Social NetworksWhy Social Networks in KMS?in KMS? People Technology Organization Processes KM Knowledge Management involves people, technology, and processes in Overlapping parts.
  • 8. Social Networks and KMSSocial Networks and KMS Why are we studyingWhy are we studying Social Networks ?Social Networks ? What ties Information Architecture, Knowledge Management and Social Network Analysis more closely together is the reciprocal relationship between people and content. Information Architecture Knowledge Management Systems Social Networks
  • 9. Social Network AnalysisSocial Network Analysis Social network analysis [SNA] is the mapping and measuring ofSocial network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations,relationships and flows between people, groups, organizations, computers or other information/knowledge processing entities.computers or other information/knowledge processing entities. The nodes in the network are the people and groups while theThe nodes in the network are the people and groups while the links show relationships or flows between the nodes.links show relationships or flows between the nodes.
  • 10. Social Network AnalysisSocial Network Analysis We measure Social Network in terms of:We measure Social Network in terms of: 1. Degree Centrality:1. Degree Centrality: The number of direct connections a node has. What really matters is whereThe number of direct connections a node has. What really matters is where those connections lead to and how they connect the otherwisethose connections lead to and how they connect the otherwise unconnected.unconnected. 2. Betweenness Centrality:2. Betweenness Centrality: A node with high betweenness has great influence over what flows in theA node with high betweenness has great influence over what flows in the network indicating important links and single point of failure.network indicating important links and single point of failure. 3. Closeness Centrality:3. Closeness Centrality: The measure of closeness of a node which are close to everyone else.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 inThe pattern of the direct and indirect ties allows the nodes any other node in the network more quickly than anyone else. They have thethe network more quickly than anyone else. They have the shortest paths toshortest paths to all others.all others.
  • 11. Exercise on SNA: Kite NetworkExercise on SNA: Kite Network By David Krackhardt
  • 12. Exercise on SNA: Kite NetworkExercise on SNA: Kite Network Who is the Connecter or Hub in theWho is the Connecter or Hub in the Network?Network? Who has control over what flows in theWho has control over what flows in the Network?Network? Who has best visibility of what isWho has best visibility of what is happening in the Network?happening in the Network? Who are peripheral players? Are theyWho are peripheral players? Are they Important?Important?
  • 13. SNA and KMS: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)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:Application of SNA: Realizing 9/11Realizing 9/11 Al- Qaeda NetworkAl- Qaeda Network.. Build a grass roots political campaign.Build a grass roots political campaign. Determine influential journalists and analysts inDetermine influential journalists and analysts in the IT industry.the IT industry. Map executive's personal network based onMap executive's personal network based on email flows.email flows. Discover the network of Innovators in a regionalDiscover the network of Innovators in a regional economy.economy. Analyze book selling patterns to position a newAnalyze book selling patterns to position a new book and many more……book and many more……
  • 16. TechnologyTechnology Various technologies that help in creatingVarious technologies that help in creating Social Networks are:Social Networks are: 1)1) EmailEmail 2)2) BlogsBlogs 3)3) Social Networking Software like Orkut,Social Networking Software like Orkut, LinkedIn etc.LinkedIn etc.
  • 17. Technology : LinkedInTechnology : LinkedIn What is Your Network?What is Your Network? When your connections inviteWhen your connections invite theirtheir connections, your Networkconnections, your Network starts to grow.starts to grow. Your Network is your connections, their connections, and so on outYour Network is your connections, their connections, and so on out from you at the center.from you at the center. How do you classify users?How do you classify users? Your Network contains professionals out to “three degrees” — thatYour Network contains professionals out to “three degrees” — that is, friends-of-friends-of-friends. If each person had 10 connectionsis, friends-of-friends-of-friends. If each person had 10 connections (and some have many more) then your network would contain(and some have many more) then your network would contain 10,000 professionals.10,000 professionals. How do you see who is in your Network?How do you see who is in your Network? LinkedIn lets you see your network as one large group ofLinkedIn lets you see your network as one large group of searchable professional profiles.searchable professional profiles.
  • 18. Technology: LinkedIn (1)Technology: LinkedIn (1)
  • 19. Technology: LinkedIn (2)Technology: LinkedIn (2) How to find people you need ?
  • 20. Technology : LinkedIn (3)Technology : LinkedIn (3) Finding Jobs
  • 21. Technology: LinkedIn (4)Technology: LinkedIn (4) ENDORSEMENTS: A New and Useful Feature
  • 22. Future of SNAFuture of SNA SNA could help us in following ways inSNA could help us in following ways in future:future: 1) Reducing Complexity1) Reducing Complexity 2) Visualizing using Geographic2) Visualizing using Geographic Information ModelingInformation Modeling
  • 23. Reducing ComplexityReducing Complexity Organization on Web Reduced Complexity through Simulation Analysis and Complex Theory for solving graphs Our Social Networks can be understood at one glance
  • 24. Geographic InformationGeographic Information ModelingModeling Key Players A B C D E X Y Z Q
  • 25. ReferencesReferences ““How to do Social Network Analysis?”-Retrieved fromHow to do Social Network Analysis?”-Retrieved from -http://www.orgnet.com/sna.html-http://www.orgnet.com/sna.html Cross, R., Parker, A. and Borgatti, S.Cross, R., Parker, A. and Borgatti, S. A bird's eye view: Using Social Network Analysis to Improve Knowledge CA bird's eye view: Using Social Network Analysis to Improve Knowledge C . IBM Institute for Business Value Publication.. IBM Institute for Business Value Publication. J.C.Thomas, W.A Kellogg, T. Erickson, “The KnowledgeJ.C.Thomas, W.A Kellogg, T. Erickson, “The Knowledge Management Puzzle: Human and social factors in KnowledgeManagement Puzzle: Human and social factors in Knowledge Management”. IBM Systems Journal. Volume 40. Number 4.2001Management”. IBM Systems Journal. Volume 40. Number 4.2001 Wellman, B. (1996)Wellman, B. (1996) For a Social Network Analysis of Computer Networks: A Sociological PersFor a Social Network Analysis of Computer Networks: A Sociological Pers Proceedings of SIGCPR/SIGMIS. Denver, CO. ACM Press.Proceedings of SIGCPR/SIGMIS. Denver, CO. ACM Press.
  • 26. Questions??Questions??