This document discusses how social networks can be leveraged to surface relevant conversations by taking advantage of relationships and connections between people. It notes that while social applications provide greater access to information, the overwhelming amount of content makes finding relevant conversations challenging. The document proposes using a person's social graph, which maps their relationships and interests, to filter conversations by degree of separation, topics of interest, and context. User feedback is also identified as important for systems to continue improving conversation recommendations.

1. Utilizing the Social Graph to Surface Relevant Conversations http://www.chatterboxhq.com

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