User Interest Based Detection of Core Members in Virtual Communities
Yue Liu · Zhongwen xinxi xuebao · 2009
The detection of core members in the virtual communities is of great value for many applications,e.g.community mining.To solve this issue,this paper first analyzes the distribution of interest similarity among the community members,finding that the interest profiles of those core members are more similar to each other than those occasional members.Therefore,an algorithm is proposed to detection the core members in virtual communities by interest clustering.This algorithm is evaluated in a real world data set from Douban.com,and produces satisfactory results.