An Effective Expert Team Formation in Social Networks Based on Skill Grading

In this paper, a novel approach for forming an effective expert team in social network is proposed by using of skill grading and minimum communication cost. In this work, first a framework is recommended to determine skill level of experts based on their skill abilities and their collaboration among expert neighbors. Second, the existing diameter algorithm is extended to its more generalized version. Third, the communication cost is customized by presenting the cost metric containing both distance and skill grade of individuals. The experimental results show the advantages of this method which using DBLP co-authorship graph through an effective and efficient expert team in practice.