TY - GEN
T1 - Evolutionary community discovery from dynamic multi-relational CQA networks
AU - Zhang, Zhongfeng
AU - Li, Qiudan
AU - Zeng, Daniel
PY - 2010/12/13
Y1 - 2010/12/13
N2 - As a knowledge sharing platform, Community Question Answering (CQA) services have attracted much attention from both academic and industry. This paper studies the problem of mining evolutionary community structures in CQA, through analysis of time-varying, multi-relational data among users and contents. We propose a unified framework for this problem, which makes the following contributions: 1) We propose an AT-LDA model, which combines author-topic model with topological structure analysis, to discover densely connected communities and the community topics in a unified process; 2) Our framework captures community structures and their evolution with temporal smoothing given by historic community structures. Empirical evaluation on real-world dataset shows that interesting communities and their evolution patterns can be detected.
AB - As a knowledge sharing platform, Community Question Answering (CQA) services have attracted much attention from both academic and industry. This paper studies the problem of mining evolutionary community structures in CQA, through analysis of time-varying, multi-relational data among users and contents. We propose a unified framework for this problem, which makes the following contributions: 1) We propose an AT-LDA model, which combines author-topic model with topological structure analysis, to discover densely connected communities and the community topics in a unified process; 2) Our framework captures community structures and their evolution with temporal smoothing given by historic community structures. Empirical evaluation on real-world dataset shows that interesting communities and their evolution patterns can be detected.
UR - http://www.scopus.com/inward/record.url?scp=78649887605&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78649887605&partnerID=8YFLogxK
U2 - 10.1109/WI-IAT.2010.189
DO - 10.1109/WI-IAT.2010.189
M3 - Conference contribution
AN - SCOPUS:78649887605
SN - 9780769541914
T3 - Proceedings - 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2010
SP - 83
EP - 86
BT - Proceedings - 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2010
T2 - 2010 3rd IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2010
Y2 - 31 August 2010 through 3 September 2010
ER -