Detecting and analyzing dense groups or communities from social and information networks
has attracted immense attention over the last decade due to its enormous applicability in …

In today's world, the interconnections among objects in many domains are often modeled as
networks, with nodes representing the objects and edges the existing relationships among …

The field of complex network clustering has been very active in the past several years. In this
paper, a discrete framework of the particle swarm optimization algorithm is proposed. Based …

Sensibly highlighting the hidden structures of many real-world networks has attracted
growing interest and triggered a vast array of techniques on what is called nowadays …

Social computing is a new paradigm for information and communication technology. Social
network analysis is one of the theoretical underpinnings of social computing. Community …

Uncovering community structures of a complex network can help us to understand how the
network functions. Over the past few decades, network community detection has attracted …

Identifying the evolving community structure of social networks has recently drawn
increasing attention. Evolutionary clustering, previously proposed to detect the evolution of …

Complex network analysis is a hot topic in the data mining area which aims to reveal the
hidden information behind a network. As an important tool in complex network analysis …

Complex network has become an important way to analyze the massive disordered
information of complex systems, and its community structure property is indispensable to …

Modern science of networks has facilitated us with enormous convenience to the
understanding of complex systems. Community structure is believed to be one of the notable …