基于量子模糊聚类算法的复杂网络社团结构探测

Detecting the Community Structure in Complex Networks Based on Quantum Fuzzy Clustering Algorithm

研究了复杂网络的社团结构特性,探讨了复杂网络的社团结构探测算法.针对现有算法中判断社团结构时的主观性问题,提出了量子模糊聚类算法,并将该算法用于复杂网络社团结构的探测.实验结果表明:该算法可以准确、有效地探测到网络中实际存在的社团结构.

Research in this paper aims to find some novel approaches to detecting the community structures in complex networks.To reduce the subjectivity in the existing algorithms , we detect community structure in complex networks based on quantum fuzzy clustering analysis method .The experimental results show that this method can give satisfactory results .