Study on community structure characteristics of cluster network with calculation and adjustment of trust degree based on the grey correlation degree algorithm

This paper is the first to apply the grey correlation degree algorithm to calculate trust degree between two enterprises in industrial network based on trust formation mechanism of inter- enterprise. Adjacency of inter-enterprise relationship, their information acquisition ability, their influence power in network and their past interaction experience are chosen as influencing factors of the trust between two enterprises. Characteristic attributes of the sequence consist of network structure indicators such as the distance between two nodes, the betweenness centrality of a node, the degree of a node and visit times between two nodes. It goes further to analyze the relationship between the dynamic adjustment of trust degree of cluster enterprises and their cooperative behaviors. Thereafter, computer simulation is applied to explore characteristics of community structure and evolution rules of cluster cooperation network in axle type cluster and satellite type cluster. It ends with its management implication based on above analyses.