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Expertise Networks: Knowledge Sharing in Online Forums

Expertise Networks: Knowledge Sharing in Online Forums Jun Zhang, Lada Adamic, Mark Ackerman, Jiang Yang, Eytan Bakshy University of Michigan School of Information and Department of EECS. Automatically inferring expertise. Objectives. understand expertise sharing dynamics online

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Expertise Networks: Knowledge Sharing in Online Forums

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  1. Expertise Networks: Knowledge Sharing in Online Forums Jun Zhang, Lada Adamic, Mark Ackerman, Jiang Yang, Eytan Bakshy University of Michigan School of Information and Department of EECS Automatically inferring expertise Objectives • understand expertise sharing dynamics online • identify experts • facilitate sharing through expertise matching • appropriate measure (PageRank, HITS, degree) depends on underlying dynamics & forum type • experts more easily identified in “factual” forums vs ExpertiseNet Simulator Competing to share expertise • Control Parameters: • Distribution of expertise • Who asks questions most often? • Who answers questions most often? • best expert most likely • someone a bit more expert (just better) Understanding the underlying dynamics • More difficult tasks have winners from other tasks as losers • More expert users have their solutions selected Degree correlation profiles • Higher rewards correlate with: • more views, and but not proportionally more submissions • higher required expertise • lower required effort (at given expertise level) • Participants learn to select less competitive tasks (increasing their winning odds) asker indegree Java Forum Network • More info: • Yang, J., Adamic, L., Ackerman, M.S., “Crowdsourcinng and knowledge sharing…”, EC2008Yang, J., Adamic, L., Ackerman, M.S., “Competing to share expertise…”, ICWSM2008 • Adamic, L., Zhang, J., Ackerman, M.S., Knowledge Sharing and Yahoo Answers: Everyone knows something, WWW’08 • Zhang, J., Ackerman, M.S., Adamic, L., Expertise Networks in Online Communities: Structure and Algorithms, WWW’07 • Zhang, J., Ackerman, M.S., Adamic, L., CommunityNetSimulator: Using Simulations to Study Online Community Network Formation and Implications, C&T2007 • QuME: A Mechanism to Support Expertise Finding In Online Help-seeking CommunitiesJ. Zhang, M. S. Ackerman, and L. A. Adamic, UIST2007, Newport, RI, 2007. asker indegree asker indegree best expert (simulation) just better (simulation) • Thanks to: ARI, Intel, NSF 0325347

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