Research on Opinion Leaders Recognition Based on TOPSIS in open source design community

In order to identify the opinion leaders in open source design community, a comprehensive evaluation method of node importance based on TOPSIS is proposed in this paper. Firstly, a user collaboration network model of community organization is established by using complex social network technology. Secondly, in order to improve the accuracy of opinion leader identification, the benefit indicators and cost indicators of each node are measured. Degree centrality, median centrality and near centrality are used as the benefit indicators, meanwhile structural hole is used as the cost indicator. Then the comprehensive evaluation index of nodes is taken as the attribute of decision evaluation scheme to calculate synthetically to determine its importance in the network. On this basis, this paper takes the Local Motors community as the research object and establishes a user cooperative directed weighted network. The static topology index of the network is analyzed. According to the results, the opinion leader node of the user cooperative network is identified based on TOPSIS method. Experiments have shown that more accurate evaluation results can be obtained than using a single indicator.