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WWW '03 Proceedings of the 12th international conference on World Wide Web
The Journal of Machine Learning Research
Graphs over time: densification laws, shrinking diameters and possible explanations
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Neo-tribes: the power and potential of online communities in health care
Communications of the ACM - Personal information management
Structure and evolution of online social networks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
A survey of trust and reputation systems for online service provision
Decision Support Systems
A framework for community identification in dynamic social networks
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Challenging research issues in data mining, databases and information retrieval
ACM SIGKDD Explorations Newsletter
Models of Charity Donations and Project Funding in Social Networks
OTM '09 Proceedings of the Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems: ADI, CAMS, EI2N, ISDE, IWSSA, MONET, OnToContent, ODIS, ORM, OTM Academy, SWWS, SEMELS, Beyond SAWSDL, and COMBEK 2009
Finding influencers in networks using social capital
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
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Online communities are connecting hordes of individuals and generating rich social network data. The social capital that resides within these networks is largely unknown. We propose to create a mathematical model of social capital that incorporates the mobilization of social resources through purposive actions. This includes evaluating nodes based not only on their relationships and attributes, but on their social resources as well. Investigating the costs associated with reciprocally connecting to individuals will also be assessed. The result is a quantitative model for characterizing and providing decision support on how to maximize participation within social networks.