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

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 …

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 …

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 …

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 …

Community Detection in On Line Social Networks is a classic feature in networked systems,
from the fields of biology, economics, politics and computer science, as well. This paper …

Analysis of networks and in particular discovering communities within networks has been a
focus of recent work in several fields and has diverse applications. Most community …

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 …

Community detection involves grouping the nodes of a network such that nodes in the same
community are more densely connected to each other than to the rest of the network …