Research of Network Consensus Guidance System Using Community Detection

Community structure exists in Internet. Research of community detection contributes to a better understanding of network structure. With an eye for network consensus leader analysis, this paper design and implement a program to mine network consensus leader based on social network analysis method. This paper also design and implement GN algorithm using Java language and the mining algorithm will be designed for GN algorithm for comparison. The results show that this algorithm improves the community structure of accuracy and reduces the time complexity of the algorithm.