Modeling Dynamic Multi-topic Discussions in Online Forums. Hao Wu , Jiajun Bu, Chun Chen, Can Wang, Guang Qiu, Lijun Zhang and Jianfeng Shen * Zhejiang University, China *Zhejiang Health Information Center, China. July 13, AAAI’2010 Atlanta, GA, USA. Social Media.
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Hao Wu, Jiajun Bu, Chun Chen, Can Wang,
Guang Qiu, Lijun Zhang and Jianfeng Shen*
Zhejiang University, China
*Zhejiang Health Information Center, China
July 13, AAAI’2010
Atlanta, GA, USA
Reveal how information propagates on Internet.
Modeling the process of topic discussions and predicting user activity is an interesting problem!
Social network analysis
What are the mechanisms underlying user’s participation
From which perspective to view the process of topic discussion
How to make use of the property of topics and temporal feature for modeling
Modeling Dynamic Multi-topic Discussions is challenging !
How to measure the importance of a user in discussions
The new comer reads some of the previous comments before posting.
Topic diffuses through the underlying social networks
The information (topic) flows from early participant to late participant .
Frequency of :
Frequency of :
ParticipationRank: measures the susceptibility of a user to a ‘infective’ topic
Random Walk With Restart
FIFA World Cup
Using Latent Dirichlet Allocation [Blei 2003]
Time Lapse Factor
Whether a user joins in discussion? (post at least once )
Synthesize For T-TFM and TT-TFM
posted more than the average number of posts per user.