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Detecting community structure is fundamental for uncovering the links between structure and function in complex networks. We propose a novel quantitative function of communicability that is applied to evaluate the strength of community structure. In addition, we theoretically analyze the properties of the function that are boundedness, differentiability, monotonicity and so on, and show it improve...
Detecting and characterizing the community structure of complex network is fundamental. There are many algorithms, were sorted to three types of criterion: mathematical method,mechanism of community structure and optimization method. In this paper, we discuss the optimization methods of community detection, compare and analyse the objective functions and solution methods. Based on this, we develop...
Detecting and characterizing the community structure of complex network and social network is fundamental problem. Many of the proposed algorithm for detecting community based on modularity Q which fail to identify modules smaller than a scale community. In this paper, authors propose a new community detection algorithm based on genetic algorithm and modularity density (D value). We test our method...
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