The expansion of the web and emergence of a large number of social networking sites
(SNS) have empowered users to easily interconnect on a shared platform. A social network …

The detection of community structures is a crucial research area. The problem of community
detection has received considerable attention from a large portion of the scientific …

Community detection is an important research area in social networks analysis where we
are concerned with discovering the structure of the social network. Detecting communities is …

Revealing the latent community structure, which is crucial to understanding the features of
networks, is an important problem in network and graph analysis. During the last decade …

A community structure is an integral part of a social network. Detecting such communities
plays an important role in a wide range of applications, including but not limited to cluster …

Community detection in social networks is the process of identifying the cohesive groups of
similar nodes. Detection of these groups can be helpful in many applications, such as …

Community detection is a growing field of interest in the area of social network applications.
Many community detection methods and surveys have been introduced in recent years, with …

Detecting communities or clusters of networks is a considerable interesting problem in
various fields and interdisciplinary subjects in recent years. Tens of hundreds of methods …

Community detection is a fundamental problem in social network analysis consisting,
roughly speaking, in unsupervised dividing social actors (modeled as nodes in a social …

Many real‐world networks are intimately organized according to a community structure.
Much research effort has been devoted to develop methods and algorithms that can …