Study on potential influence topic in on-line community
Wang Xiao-feng · Journal of Computer Applications · 2008
On-line community has become an important place for people to retrieve information and deliver comments. It consists of a large number of topics delivered by registered users. Concerning the shortage of traditional method for calculating influential topic, a new method was presented. By calculating word's influence on re-comment chain, our method can discover the potential influential topic in on-line community based on clusters of influential words. It can timely, exactly and conveniently provide important topic information to user and forum manager.