talash friend finding in federated social networks
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Talash: Friend Finding in Federated Social Networks Ruturaj Dhekane And Brion Vibber Ruturaj Dhekane BrionVibber ruturaj@identi.ca brionv@identi.ca IIT Kanpur StatusNet Inc. Walkthrough Federated Social Networks FSN Model Talash


  1. Talash: Friend Finding in Federated Social Networks Ruturaj Dhekane And Brion Vibber Ruturaj Dhekane BrionVibber ruturaj@identi.ca brionv@identi.ca IIT Kanpur StatusNet Inc.

  2. Walkthrough  Federated Social Networks  FSN Model  Talash Of Friends  Quick Connect  Address Books  Social Graph API  Delayed Connect  Experiments  Future of Talash

  3. Everything Is Social  Status Updates.  Friends  Followers  Subscriptions

  4. Federated Social Network (FSN)  Many websites. A.com  Users on each site. B.com 1 1 2 3 C.com 1 2 3 4 5 A.com/user/1 Or A.com/joe

  5. Federated Social Network (FSN)  Many websites. A.com  Users on each site. B.com 1  Declares Friends. 1 2 3  FOAF C.com 1 2 3 4 5 A.com/user/1 Or A.com/joe

  6. Federated Social Network (FSN)  Many websites. A.com  Users on each site. B.com 1  Declares Friends. 1 2 3  FOAF C.com  Interact. Social. 1 2 3 4 5 A.com/user/1 Or A.com/joe

  7. Federated social network (FSN)  Many websites. A.com  Users on each site. B.com 1  Declares Friends. 1 2 3  Interact. Social. C.com 1 2 3 4 5 A.com/user/1 Or A.com/joe

  8. FSN powered By StatusNet

  9. FSN powered By StatusNet Status Updates

  10. FSN powered By StatusNet Status Updates Friends

  11. FSN powered By StatusNet Status Updates Friends Followers

  12. FSN powered By StatusNet Status Updates Friends Activity Stream Followers

  13. FSN powered By StatusNet Status Updates Friends Activity Stream Followers

  14. OStatus Protocol Suite  PubSubHubBub  Multicast Status Updates to Followers.  Receive Comments Back  Salmon From Friends.  Address a User as  WebFinger username@example.com  Display Activities as a Stream  Activity Stream for each User.

  15. New User on FSN A.com B.com 1 1 2 3 C.com 1 2 3 4 5 A.com/user/1 Or A.com/joe

  16. New User on FSN D.com A.com New User! New User! 1 1 B.com 1  A new user joins the FSN.  No friends. 1 2 3  No interaction. C.com  No one knows, new user exists. 1 2 3  New Users are Isolated. 4 5 A.com/user/1 Or A.com/joe

  17. New User on FSN A.com B.com D.com 1 New User! 1 2 3 1 C.com Can we find new 1 2 3 friends for this 4 5 User? A.com/user/1 Or A.com/joe

  18. Talash Given a User X on the FSN can we 1. Find other Users that X might know. 2. Find other Users that X might find interesting.

  19. Knows and Interesting!  Knows: One User appears in the others address book Or has communicated with the other at least once over email or on other public forums or online social networks.  Interesting: One User will be interesting to another if they share some common attribute.  Relative term. Can be weighted.

  20. FSN Centered Around A User  User knows all Friends.

  21. FSN Centered Around A User  User knows all Friends.  Friends might know each other.

  22. Friend Finding  Only Local Information available.  Existence of another User known only if URI is known.  New Users have no initial friends.

  23. Quick Connect Attacks Cold Start Problem .

  24. Social Graph API Google Social Graph API Google Social Graph API  Request a URI. "canonical_mapping": { "evan.status.net": "http://evan.status.net/" },

  25. Social Graph API Google Social Graph API Google Social Graph API "claimed_nodes": [  Request a URI. "http://evanp.myopenid.com/" ],  Find all public "unverified_claiming_nodes": [ profiles. "http://alpha.libre.fm/user/evan", "http://github.com/evanp", "http://www.identi.ca/evan",]

  26. Social Graph API Google Social Graph API Google Social Graph API  Request a URI. "http://www.livejournal.com/us ers/xtof/profile": { "types": [ "colleague",  Find all public "contact", "me", "muse" ] }, profiles. "http://status.ianmcorvidae.net/ ": { "types": [ "contact" ]},  URIs of Subscribers and Subscriptions.

  27. Quick New Friends  Tap Address books.  Get all the contacts in a Users Address book.  Gmail, Yahoo, Plaxo, Twitter

  28. Quick New Friends  Tap Address books.  Use OAuth, PoCo. <entry> <title>Pradeep</title> <gd:email address=“PD@gmail.com" primary="true"/> </entry>

  29. Quick New Friends  Tap Address books.  Gets each contacts’ Public Profiles  Use OAuth, PoCo.  Check if they are  Query Social Graph API OStatus Accounts.  Allow Subscription.

  30. Quick New Friends G SG API • Find all your • Allow cross friends’ email domain • Find their addresses. subscription. public OStatus Profiles Address Books OStatus

  31. Quick New Friends  Tap Address books.  Use OAuth, PoCo.  Query Social Graph API  Background download using Daemons.

  32. Whats New?  Contacts may or may not exist on same domain.  Finding Friends across domains. A.com D.com New User! 1 1  Using aggregated information?

  33. WebFinger <Subject>  In Absence of acct:ruturaj@identi.ca SGAPI, Use </Subject> WebFinger <Alias>  Query http://identi.ca/user/153712 joe@example.com </Alias>  Retrieve RDF <Link rel="describedby“ about public type="application/rdf+xml“ profiles. href="http://identi.ca/ruturaj/foaf"/>

  34. Delayed Connect Incrementally Find New Interesting Friends.

  35. Strategy Use F Use Friends And F iends And FOAF AF Two Hop Distance o Hop Distance Your Friends might know about other friends you don’t know about.

  36. Strategy  User has many friends. (say 300)  Use Information from Users’ friends to find new friends.  Prospective new friends: Friend Of A Friend.

  37. Friend Of A Friend  HTTP requests to acquire FOAF very large.

  38. Community Around A User FOAF Link Subscriptions Friends Prospective Community 3 Community 1 Friends User Community 2  Each User is part of multiple Communities.  Each Community has different attributes  College Friends, School Friends, Workplace, Rubik Cubers Club

  39. Strategy  Caching of FOAF details.  Limiting FOAF requests.  Obtain FOAF only from interesting friends.  Select friends from every community.

  40. Algorithm Find User’s communities. 1. Select log(n) interesting friends from each 2. community. Maximum degree nodes, Maximum degree  centrality. Call them leaders.  Request FOAF from each leader from each 3. community. Evaluate Interestingness. 4. Recommend K top Interesting friends. 5.

  41. Experimentation  OStatus enabled FSN for experimentation.  Manual feedback from Users. Parameter Value Number of Users 285,198 Number of Edges 1,663,690

  42. Manual feedback Only small sets of recommendations were accepted.

  43. Clustering Advantage Less requests per User as compared to .

  44. Community Improvement Community Details Initial ASPL Final ASPL Developers of Identi.ca 1.807 1.602 Group of entrepreneurs 1.974 1.965 FOSS Contributors 2.453 2.702 Family 1.333 1.000 Average shortest path length goes towards 1.0 (decreases) implying the community around the User became well connected.

  45. Conclusion  Solved Cold Start in FSN.  Mechanism to expand FSN using FOAF knowledge.  Primary building blocks  FOAF  WebFinger

  46. Future Work  Better algorithm for Delayed connect.  Learning User Preferences.  Hope to have WebFinger for all Online Email Services.

  47. References  www.status.net  www.identi.ca  www.gitorious.org/friend-connect  Repository for plugin.  www.ostatus.org/tag/specification  www.statusnetdev.net/talash/testdata/  Test manual feedback

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