Detecting evolutionary community structure in dynamic weighted networks is important for understanding the structure and functions of networks. In this paper, an algorithm which considers the historic community structure of networks is developed to detect evolutionary community structure in...

Different algorithms, which take both links and link weights into account for the community structure of weighted networks, have been reported recently. Based on the measure of similarity among community structures introduced in our previous work, in this paper, accuracy and precision of three...

In this paper, we propose a weighted modularity QW based on the similarity of weights on edges and a threshold coefficient ζ to evaluate the equivalence of edge weights. Simulations on benchmark networks and real networks show that optimization on the modularity enable us to obtain groups of...