A review on community detection in large complex networks from conventional to deep learning methods: A call for the use of parallel meta-heuristic algorithms
Complex networks (CNs) have gained much attention in recent years due to their
importance and popularity. The rapid growth in the size of CNs leads to more difficulties in …
importance and popularity. The rapid growth in the size of CNs leads to more difficulties in …
A survey on the recent advances of deep community detection
In the first days of social networking, the typical view of a community was a set of user
profiles of the same interests and likes, and this community kept enlarging by searching …
profiles of the same interests and likes, and this community kept enlarging by searching …
A classification of community detection methods in social networks: a survey
The detection of community structures is a crucial research area. The problem of community
detection has received considerable attention from a large portion of the scientific …
detection has received considerable attention from a large portion of the scientific …
On Implementing Social Community Clouds Based on Markov Models
Social networks reflect, to a wide extent, the real-world relationships that allow users to
connect and share information. The number of people that interact in social networks keeps …
connect and share information. The number of people that interact in social networks keeps …
LazyFox: Fast and parallelized overlap** community detection in large graphs
The detection of communities in graph datasets provides insight about a graph's underlying
structure and is an important tool for various domains such as social sciences, marketing …
structure and is an important tool for various domains such as social sciences, marketing …
Scheduling fair resource allocation policies for cloud computing through flow control
In this short paper, we discuss the problem of resource allocation for cloud computing. The
cloud provides a variety of resources for users based on their requirements. Thus, one of the …
cloud provides a variety of resources for users based on their requirements. Thus, one of the …
SLPA-based parallel overlap** community detection approach in large complex social networks
A Mahabadi, M Hosseini - Multimedia tools and applications, 2021 - Springer
Performance improvement of community detection is an NP problem in large social networks
analysis where by integrating the overlapped communities' information and modularity …
analysis where by integrating the overlapped communities' information and modularity …
Hybrid CPU-GPU community detection in weighted networks
Recently, a new trend has emerged in the field of parallel and high performance computing,
the hybrid implementation using CPU-GPU modules. In such implementations, the …
the hybrid implementation using CPU-GPU modules. In such implementations, the …
[HTML][HTML] Local intrinsic density based community detection using branch-and-bound and minimum spanning tree
K Nath - Systems and Soft Computing, 2022 - Elsevier
Community detection in complex networks has emerged as a fundamental research area
during the last decade. Traditional community detection is primarily based on static …
during the last decade. Traditional community detection is primarily based on static …
Attribute driven temporal active online community search
Almost all of the existing approaches to determining online local community are typically
deliberated like-minded users who have similar topical interests. However, such …
deliberated like-minded users who have similar topical interests. However, such …