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 …

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 …

Community detection is believed to be a very important tool for understanding both the
structure and function of complex networks, and has been intensively investigated in recent …

Community detection has drawn a lot of attention as it can provide invaluable help in
understanding the function and visualizing the structure of networks. Since single objective …

In the early days of social networking, a community was typically viewed as a collection of
user pro-files sharing common interests and likes. This community continued to grow by …

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 …

Abstract The interest in Community Detection Problems on networks that evolves over time
has experienced an increasing attention over the last years. Multi-Objective Genetic …

An approach to detect communities in signed networks that combines Genetic Algorithms
and local search is proposed. The method optimizes the concepts of modularity and …

Community detection in presence of both positive and negative interactions in signed
community structures has recently enjoyed a large increase in interest. The general …