Incremental dynamic Community discovery algorithm based on Improved Modularity

2016 ◽  
Author(s):  
Kun Guo ◽  
Tengyun Zhu ◽  
Guo Hui Li
Keyword(s):  
Community Discovery ◽  
Dynamic Community

A Framework for Detecting Weighted Communities in the International Trade Network

2014 ◽  
Vol 513-517 ◽  
pp. 2059-2062
Author(s):  
Lei Ming Yan ◽  
Jin Han
Keyword(s):  
Social Networks ◽  
International Trade ◽  
Social Network ◽  
Network Analysis ◽  
Trade Network ◽  
Open Problems ◽  
Community Discovery ◽  
Detection Algorithms ◽  
Dynamic Community ◽  
International Trade Network

Community discovery is a crucial task in social network analysis, especially in describing the evolution of social networks. Although some works have focused on finding the dynamic community, there are still some open problems need to be conquered, such as analyzing the dynamic and weighted community. In this paper, we propose a framework for analyzing weighted communities and their evolutions via clustering correlated weight vectors to enhance existing community detection algorithms. The International trade network is used to verify our framework. Experiments show that the framework discovers and captures the evolving behaviors with temporal elements and weight values.

scholarly journals Dynamic Community Discovery via Common Subspace Projection

2021 ◽  
Author(s):  
Lanlan Yu ◽  
Ping Li ◽  
Jie Zhang ◽  
Juergen Kurths
Keyword(s):  
Subspace Projection ◽  
Community Discovery ◽  
Dynamic Community

Dynamic community discovery algorithm of Web services based on collaborative filtering

2013 ◽  
Vol 33 (8) ◽  
pp. 2095-2099
Author(s):  
Zhong WU ◽  
Guihua NIE ◽  
Donglin CHEN ◽  
Peilu ZHANG
Keyword(s):  
Web Services ◽  
Collaborative Filtering ◽  
Community Discovery ◽  
Dynamic Community

Community Discovery Method in Networks Based on Topological Potential

2009 ◽  
Vol 20 (8) ◽  
pp. 2241-2254 ◽  
Author(s):  
Wen-Yan GAN ◽  
Nan HE ◽  
De-Yi LI ◽  
Jian-Min WANG
Keyword(s):  
Community Discovery ◽  
Discovery Method
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