Recognition of Online Opinion Leaders Based on SuperEdgeRank Algorithm of Supernetwork
Opinion leaders on the internet are core users in online communities,who play an important role in promoting the formation of online public opinion,and can guide the direction of public opinion.First of all,this paper establishes a supernetwork model with multidimensional subnets,including social,psychological,environmental and viewpoint subnets.Second,it proposes the SuperEdgeRank algorithm to rank the superedges of the Supernetwork model,and apply the ranking result to recognize the opinion leaders in supernetwork.Then,this paper analyzes the influencing factors of information dissemination in environmental subnet,calculates the transformation of different psychological types in psychological subnet and computes the similarity between points of view in viewpoint subnet.Finally,the feasibility and innovativeness of this method are verified by a case study.