The expert identification in the cyber knowledge community
by Deng-Neng Chen; Po-Chun Hsieh
International Journal of Computational Science and Engineering (IJCSE), Vol. 13, No. 2, 2016

Abstract: The cyber community has played an important role for knowledge sharing on the internet. By posting articles and comments in the cyber community, the members can share knowledge with each other conveniently. In the community, the members would like to ask someone to solve some specific problems. It would be valuable if the community platform could identify who the real expert is in a specific domain. In this research, we propose a volumetric ExpertRank algorithm to identify the real expert in the cyber community automatically. The algorithm is designed based on the articles' evaluation information, word-count of articles and PageRank algorithm. We have developed a prototype system and conducted an experiment to evaluate our algorithm. The experiment results show that our algorithm is better than the other automatic expert identification methods and it is helpful to identify experts accurately in the cyber community.

Online publication date: Fri, 19-Aug-2016

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