Key user identification algorithm in online social networks based on user relationships
Wu Zh · Journal of Beijing Jiaotong University · 2014
In this paper,we addressed the problem of identifying key users in online social networks and quantifying their authorities. Referring to the vote in human society,we proposed URRank( User Relationship Rank) algorithm to evaluate users' authorities based on users' activities and the relationship between users' following and interactions. Experimental results based on some crawled data from Sina Weibo show that the proposed algorithm outperforms existing algorithms which are easily deceived or unilateral.