Image segmentation is a wide research topic; a huge amount of research has been
performed in this context. Image segmentation is a crucial procedure for most object …

Community detection aims to discover and reveal community structures in complex
networks. Some community detection method is called local methods that only apply local …

Recently, social network has been paid more and more attention by people. Inaccurate
community detection in social network can provide better product designs, accurate …

Parallel and distributed community detection in large-scale complex networks, such as
social networks, is a challenging task. Parallel and distributed algorithm with high accuracy …

These days, community detection is an important field to understand the topology and
functions in the complex networks. In this article, we propose a novel Community Detection …

The study of community structure in complex networks has always been a subject of great
concern in various fields. Community structure can reflect the dynamic characteristics and …

Community detection is a fundamental problem for many networks, and many methods have
been proposed to resolve it. However, due to rapid increases in the scale and diversity of …

Community detection in complex network is a hot issue in the field of complex network. This
paper proposed a community detection approach in complex network using discrete particle …

Label propagation algorithm (LPA) has attracted much attention due to its linear time
complexity. However, there are disadvantages of uncertainty and randomness in the label …

Centrality measurement and community detection in complex social network are important in
understanding network structures and analyzing network characteristics. In view of the …