While the majority of methods for community detection produce disjoint communities of
nodes, most real-world networks naturally involve overlap** communities. In this paper, a …

Community detection in complex network has become a vital step to understand the
structure and dynamics of networks in various fields. However, traditional node clustering …

Change point detection in social networks is an important element in develo** the
understanding of dynamic systems. This complex and growing area of research has no clear …

With the emergence of Online Social Networks (OSNs) as an effective medium of information
dissemination, its abuse in spreading misinformation has become a great concern to its …

Community detection is an important tool to analyze hidden information such as functional
module and topology structure in complex networks. Compared with traditional community …

Community detection is a challenging issue because most existing methods are not well
suited for complex social networks with ambiguous structures. In this paper, we propose a …

This study considers the problem of hybrid community detection in attributed networks based
on the information of network topology and attributes with the aim to address the following …