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Communities of Yahoo! Answers and Baidu Zhidao: Complementing or Competing?. Baichuan Li, Michael R. Lyu, and Irwin King Department of Computer Science and Engineering The Chinese University of Hong Kong. Community Question Answering. Complementing and Competing. Complementing
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Communities of Yahoo! Answers and Baidu Zhidao: Complementing or Competing? Baichuan Li, Michael R. Lyu, and Irwin King Department of Computer Science and Engineering The Chinese University of Hong Kong
Complementing and Competing • Complementing • Collaboration • Help each other on many topics • Competing • Isolation • Small circles
Data YA08 and BZ08 YA-Q and BZ-Q YA10 and BZ10 January, 2008 July 2010 May 2010
Research Problems • Community structure • What’s it? • Sub-communities • User behaviors • Top contributors and common users • Influence to question solving
Analysis • Social network analysis • Community structures • Sub-Community detection • User behavior analysis • Community efficiency analysis
Community Structures SCC: users who frequently help each other IN: users who mainly ask questions OUT: users who mainly answer questions SCC: Strongly Connected Component DC: Disconnected Component
Sub-Community Detection • Detecting Sub-communities • Louvain method (Blondel et al., 2008) 1 5 3 23 5 8 2 2 YA08 YA10 1 2 4 5 8 6 16 5 3 10 24 5 BZ08 BZ10 2 7 1 3
Weighted Mean Entropy number of users in sub-community s number of categories number of questions user i asked (and/or) answered in category j Complementing Competing
Behaviors of Top Contributors • Interaction between top contributors and their neighbors Collaboration YA08 YA10 Isolation BZ08 BZ10
Behaviors of Top Contributors • Component of top contributors • Top 100 users ranked by Indegree, Outdegree, and Degree • Overlapping
Behaviors of Common Users • Limited Activity • Most users only ask or answer questions in a very few categories
Behaviors of Common Users • User activity at category level • Number of answers per question • Asker-answerer rate • Category mapping • 32 volunteers • Fleiss’ kappa • Similar category settings of YA and BZ
Brief Summary • Similarities • Sub-communities are formed in both YA and BZ • Similar category settings • Differences Competing Complementing
Discussion • Why? • Which style do you prefer? • Advertising? • Get good answers quickly? • How to improve community engagement? • Point system doesn’t work? • Monetary rewards? • What about the future? • Social QA?
Community Efficiency • YA-Q and BZ-Q • 3,000 questions each are chosen randomly • Track the states of these questions within two days
Conclusion • Reveal the communities of two leading CQA portals • Community structures • User behaviors • Temporal analysis • Yahoo! Answers: Complementing • Baidu Zhidao: Competing • Investigate the influence of community to the efficiency of question solving
Future work • How to design better CQA systems? • High question solving speed • High user satisfactory • Encourage participation • Reward system • Impact of community on question and answer quality
Thank You! Q&A