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 …

Complex networks (CNs) have gained much attention in recent years due to their
importance and popularity. The rapid growth in the size of CNs leads to more difficulties in …

Community detection in complex networks is an important multidisciplinary research area
and is considered crucial for understanding the structure of complex networks …

Community detection is one of the long standing and challenging tasks in the field of
Complex Networks (CNs). Recently, deep learning is one of the promising community …

Community structure is one of the common characteristics of complex networks. In the
practical work, we have noted that every node and its most similar node tend to be assigned …

In MANET, routing plays a vital role in packet interaction and data transmission. It is always
easy to manage the data transmission over the MANET because of uncentralized control on …

Community detection in complex networks has emerged as a fundamental research area
during the last decade. Traditional community detection is primarily based on static …

Fuzzy logic techniques have been successfully employed in wireless body area networks
(WBANs) for media access control (MAC). However, most of the existing research work …

In today's world scenario, many of the real-life problems and application data can be
represented with the help of the graphs. Nowadays technology grows day by day at a very …

Mining the community structure in the real-world networks has been a hot topic in the field of
complex networks, and has emerged as a prominent research area and continues to grow …