Key Nodes Evaluation in Social Networks Based on Multi-indicators

Abstract

In order to accurately identify key nodes in social networks, this paper proposes a multi-indicators-based evaluation method for key nodes in social networks. The method uses degree centrality, LeaderRank, and betweenness centrality to construct multi-attribute decision-making matrix. Multi-attribute decision-making method VIKOR is used to calculate the importance of nodes in social networks, and the key nodes can be obtained from the ranking result of importance. The experimental results on two real network datasets show that this method can effectively and comprehensively evaluate the key nodes in social networks, and has a better evaluation effect in the classical SIR model.