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 …

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 …

Due to the important role in analyzing the structure and function of complex networks,
community detection has attracted increasing attention in the past years. Multi-objective …

Over the past couple of decades, the research area of network community detection has
seen substantial growth in popularity, leading to a wide range of researches in the literature …

Community detection in networks has raised an important research topic in recent years.
The problem of detecting communities can be modeled as an optimization problem where a …

Community structure identification in complex networks has been an important research
topic in recent years. Community detection can be viewed as an optimization problem in …

Community structure identification in complex networks has been an important research
topic in recent years. Community detection can be viewed as an optimization problem in …

Community detection in complex networks has attracted a lot of attention in recent years.
Community detection can be viewed as an optimization problem, in which an objective …

Community detection in online social media networks is to identify the connections of nodes
within the network. The community can be determined as clusters, modules, or groups in …

In the past few years, community detection has garnered much attention due to its significant
role in analysing the structures and functions of complex networks. Despite many efforts to …