Title
Community Detection by Fuzzy Relations
Abstract
The increasing demand for knowledge from network data poses significant challenges in many tasks. Discovering community structure from a network is one of the classic and significant problems faced in network analysis. In this paper, we study the network structure from the perspective of the composition of fuzzy relations, and a novel algorithm based on fuzzy relations, i.e., CDFR (Community Detec...
Year
DOI
Venue
2020
10.1109/TETC.2017.2751101
IEEE Transactions on Emerging Topics in Computing
Keywords
DocType
Volume
Detection algorithms,Clustering algorithms,Image edge detection,Social network services,Partitioning algorithms,Sun,Complexity theory
Journal
8
Issue
ISSN
Citations 
2
2168-6750
4
PageRank 
References 
Authors
0.43
0
4
Name
Order
Citations
PageRank
Wenjian Luo135640.95
Zhenglong Yan250.79
Chenyang Bu3479.18
Daofu Zhang450.78