simulated annealing strategy is used to maximize the modularity of a network, associating with a dissimilarity-index-based and … the literature as regards the optimal modularity found. They can not only identify the community structure, but also give …

, a type of multi-resolution methods in community detection was introduced, which can adjust the resolution of modularity … by modifying the modularity function with tunable resolution parameters, such as those proposed by Arenas, Fernández and … the enhancement of the modularity resolution is obtained. The theoretical results indicated that the limitation depends on …

relatively higher; second, the modularity of the communities is larger; finally, both the number of members of top …

firms of the Italian Stock Exchange, is analyzed by means of the maximum modularity approach. The main result is that both …

resolutions. For each formulation, we detect communities by optimizing network modularity using an appropriate null model. We …

years. Community detection is the problem of finding closely related groups within a network. Modularity optimisation is a … widely accepted method for community detection. It has been shown that the modularity optimisation has a resolution limit …

comprehensively screened ever, does not reflect generic structural properties correctly as it is. The modularity is suppressed and the … connectivity correlation is lacking. Addition of interologs to the current fly dataset increases the modularity and enhances the …