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 …

A modularity-specialized label propagation algorithm (LPAm) for detecting network communities was recently proposed … are similar in total degree and thus it is prone to get stuck in poor local maxima in the modularity space. To escape … time. Combining LPAm and MSG, we propose an advanced modularity-specialized label propagation algorithm (LPAm …

agglomerative framework. The quality function of modularity is extended to evaluate the goodness of a cover. The examples of …

, 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 …

given graph. We combine random walks and modularity to precisely and efficiently reveal the clusters of a graph. PPC is a …

as modularity is probably the most used technique in this area. Nevertheless, its limits have been deeply studied. Local … modularity has. …

they cosponsor. Using the concept of modularity, we identify the community structure of Congressmen, who are connected via …

-scale description. In addition, using a criterion of modularity, the method can also accurately find community structures in complex …