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 …

Nodes in real-world networks, such as social, information or technological networks,
organize into communities where edges appear with high concentration among the …

Various types of social relationships, such as friends and foes, can be represented as
signed social networks (SNs) that contain both positive and negative links. Although many …

Rapid improvements in the precision of mobile technologies now make it possible for
advertisers to go beyond real-time static location and contextual information on consumers …

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 …

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 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 this paper, we detect communities from trajectories. Existing algorithms for trajectory
clustering usually rely on simplex representation and a single proximity-related metric …

Existing algorithms for trajectory-based clustering usually rely on simplex representation and
a single proximity-related distance (or similarity) measure. Consequently, additional …

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 …