Financial networks have become extremely useful in characterizing the structures of
complex financial systems. Meanwhile, the time evolution property of the stock markets can …

Detecting and tracking communities in dynamic social networks has been a grand
multidisciplinary challenge. There are two key steps in tracking the community evolution of …

Communities are an important feature of real-world networks that can reveal the structure
and dynamic characteristics of networks. Accordingly, the accurate detection and analysis of …

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 …

Complex networks in real world are always in the state of evolution and composed of
numerous overlap** communities. The discovery of overlap** communities in dynamic …

Many real-world systems can be abstracted as networks. As those systems always change
dynamically in nature, the corresponding networks also evolve over time in general, and …

Human activities are usually collective, so clustering has become an important feature of
human behavior. This paper studied the evolution of the community in the process of public …

Community detection is the problem of identifying natural divisions in networks. A relevant
challenge in this problem is to find communities on rapidly evolving graphs. In this paper, we …

Community detection is widely used in social networks to uncover groups of related vertices
(nodes). In cryptocurrency transaction networks, community detection can help identify users …

Community finding in large networks (or graphs) helps in understanding natural
collaboration within a set of members in the network. An intrinsic community is a form of …