The area of social networks has kept growing and exhibits multiple types of interaction
among entities. This arrangement of nodes leads to the many kinds of studies in the social …

Community detection aims to discover cohesive groups in which people connect with each
other closely in social networks. A variety of methods have been proposed to detect …

Communities, or clusters, are usually subgraphs of nodes densely interconnected but
sparsely linked with others. The nodes with similar properties or behaviors are more likely to …

Social networks of various kinds demonstrate a strong community effect. Actors in a network
tend to form closely-knit groups; those groups are also called communities or clusters …

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 …

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 …

A social network is a social structure made up of a set nodes, which represents social actors
(such as people, organizations), and edges or lines represents relationship between these …

Community Detection is used to discover a non-trivial organization of the network and to
extract the special relations among the nodes which can help in understanding the structure …

The detection of the communities and the depiction of the interactions, between the entities
and the individuals in the real world network graphs is a challenging problem. There are …

A social network can be defined as a set of people connected by a set of people. Social
network analysis provides both a visual and a mathematical analysis of human relationship …