An Improved Density Peaks Clustering based on Rough Set Theory for Overlapping Community Detection

2019 ◽  
Author(s):  
Yunfei Feng ◽  
Hongmei Chen
Keyword(s):  
Set Theory ◽  
Community Detection ◽  
Rough Set ◽  
Rough Set Theory ◽  
Overlapping Community Detection ◽  
Density Peaks ◽  
Density Peaks Clustering ◽  
Overlapping Community

EADP: An extended adaptive density peaks clustering for overlapping community detection in social networks

2019 ◽  
Vol 337 ◽  
pp. 287-302 ◽  
Author(s):  
Mingli Xu ◽  
Yuhua Li ◽  
Ruixuan Li ◽  
Fuhao Zou ◽  
Xiwu Gu
Keyword(s):  
Social Networks ◽  
Community Detection ◽  
Overlapping Community Detection ◽  
Density Peaks ◽  
Density Peaks Clustering ◽  
Overlapping Community

scholarly journals A link density clustering algorithm based on automatically selecting density peaks for overlapping community detection

2016 ◽  
Vol 30 (24) ◽  
pp. 1650167 ◽  
Author(s):  
Lan Huang ◽  
Guishen Wang ◽  
Yan Wang ◽  
Wei Pang ◽  
Qin Ma
Keyword(s):  
Community Detection ◽  
Clustering Algorithm ◽  
Overlapping Community Detection ◽  
Link Distance ◽  
Density Peaks ◽  
Link Density ◽  
Overlapping Community ◽  
Density Clustering ◽  
Relationship Of ◽  
The Relationship

In this paper, we proposed a link density clustering (LDC) method for overlapping community detection based on density peaks. We firstly use an extended cosine link distance metric to reflect the relationship of links. Then we introduce a clustering algorithm with fast search for solving the link clustering (LC) problem by density peaks with box plot strategy to determine the cluster centers automatically. Finally, we acquire both the link communities and the node communities. Our algorithm is compared with other representative algorithms through substantial experiments on real-world networks. The experimental results show that our algorithm consistently outperforms other algorithms in terms of modularity and coverage.

An overlapping community detection algorithm based on density peaks

2017 ◽  
Vol 226 ◽  
pp. 7-15 ◽  
Author(s):  
Xueying Bai ◽  
Peilin Yang ◽  
Xiaohu Shi
Keyword(s):  
Community Detection ◽  
Detection Algorithm ◽  
Overlapping Community Detection ◽  
Density Peaks ◽  
Overlapping Community ◽  
Community Detection Algorithm

Objectively Evaluation of the Structure of Logistics Industry Based on Rough Set Theory

2007 ◽  
Author(s):  
C. Z. Jiang ◽  
Q. Y. Peng ◽  
W. B. Huang ◽  
F. Xu
Keyword(s):  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Logistics Industry

A rough set theory application in forecasting models

2020 ◽  
Vol 3 (2) ◽  
pp. 1-21 ◽  
Author(s):  
Haresh Sharma ◽  
◽  
Kriti Kumari ◽  
Samarjit Kar ◽  
◽  
...  
Keyword(s):  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Forecasting Models ◽  
Theory Application
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