Utilizing The Social Graph to Surface Relevant Conversations - Defrag09

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This presentation describes the social graph and how you can leverage your social graph to surface conversations that might provide value. I gave this presentation at the 2009 Defrag Conference. You can see the video for this presentation here:

http://blip.tv/file/2849456

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Utilizing The Social Graph to Surface Relevant Conversations - Defrag09

  1. Utilizing the Social Graph to Surface Relevant Conversations http://www.chatterboxhq.com
  2. Problem : Too Much Content… Lost Opportunity <ul><li>Conversation Overload </li></ul><ul><li>In the beginning information was localized </li></ul><ul><li>Overwhelming amount of content </li></ul><ul><li>Disparate social networks </li></ul><ul><li>No system intelligence </li></ul>
  3. The Solution : Leverage Your Social Graph <ul><li>Network of relationships </li></ul><ul><li>“ Six degrees of separation” </li></ul><ul><li>People represent the nodes </li></ul><ul><li>Connections represent the relationships </li></ul><ul><li>Direct or Indirect Relationships </li></ul><ul><li>Interest-based Relationships </li></ul><ul><li>Tagging the type of relationship important </li></ul><ul><li>The further out the greater the randomness </li></ul>Spouse Colleague Trains
  4. Example Social Graphs Map of Twitter Relationships Tweeterbrowser - http://www.tweeterbrowser.com/ Map based up 102nd Session Senate Voting January 3, 1991, to January 3, 1993 O’Reilly Gov2.0 Summit Presentation - http://bitly.com/OujpP Relationship Based Interest Based
  5. Access vs. Trust : AND Personal Preferences Predicting the Influence of Network Structure on Trust in Knowledge Communities: Addressing the Interconnectedness of Four Network Principles and Trust M. Max Evans and Anthony K.P. Wensley http://www.ejkm.com/volume-7/v7-1/Evans_and_Wensley.pdf Learning to Recommend with Social Trust Ensemble Hao Ma, Irwin King and Michael R. Lyu http://appsrv.cse.cuhk.edu.hk/~hma/Paper_SigIR09_Hao.pdf
  6. Context : All Relationships Are Not Equal New customer question I like this book X ✓ My favorite coffee is X ✓ The coffee machine is out of filters X
  7. Finding Conversations : Key Inputs <ul><li>Personal Preferences </li></ul><ul><ul><li>Topics of Interest </li></ul></ul><ul><ul><li>System Feedback </li></ul></ul><ul><li>Network Relationship </li></ul><ul><ul><li>Context </li></ul></ul><ul><ul><li>Degree of Separation </li></ul></ul><ul><li>Conversation Buzz </li></ul><ul><ul><li>Number of Mentions </li></ul></ul><ul><ul><li>Correlation to Interests </li></ul></ul>Conversations I Care About
  8. Summary <ul><li>Social applications greatly expand access to information </li></ul><ul><li>Signal-to-noise ratio complicates finding relevant conversations </li></ul><ul><li>Leverage relationships to surface identity and interest-based conversations </li></ul><ul><li>Context is important </li></ul><ul><li>User feedback is critical </li></ul><ul><li>Just ask! Most people in your network want to help </li></ul><ul><li>Challenge is for the systems to now catch up </li></ul>
  9. <ul><li>Thanks For Your Time </li></ul>Todd Clayton [email_address] www.coreblox.com @tclayton ChatterBox [email_address] www.chatterboxhq.com @chatterboxapp

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