An Improved Community Detection Method in Bipartite Networks

2016 ◽  
pp. 259-268
Author(s):  
Fan Chunlong ◽  
Song Yan ◽  
Song Huimin ◽  
Ding Guohui
Keyword(s):  
Community Detection ◽  
Detection Method ◽  
Bipartite Networks

A novel community detection method in bipartite networks

2018 ◽  
Vol 492 ◽  
pp. 1679-1693 ◽  
Author(s):  
Cangqi Zhou ◽  
Liang Feng ◽  
Qianchuan Zhao
Keyword(s):  
Community Detection ◽  
Detection Method ◽  
Bipartite Networks

scholarly journals A fast community detection method in bipartite networks by distance dynamics

2018 ◽  
Vol 496 ◽  
pp. 108-120 ◽  
Author(s):  
Hong-liang Sun ◽  
Eugene Ch’ng ◽  
Xi Yong ◽  
Jonathan M. Garibaldi ◽  
Simon See ◽  
...  
Keyword(s):  
Community Detection ◽  
Detection Method ◽  
Bipartite Networks

Spectral Bisection Community Detection Method for Urban Road Networks

2021 ◽  
Author(s):  
Lu Guo ◽  
Ying Cui ◽  
Haili Liang ◽  
Zhao Zhou
Keyword(s):  
Community Detection ◽  
Detection Method ◽  
Road Networks ◽  
Urban Road

Community detection in social networks based on information propagation and user engagement

2021 ◽  
pp. 2150119
Author(s):  
Fuzhong Nian ◽  
Li Luo ◽  
Xuelong Yu ◽  
Xin Guo
Keyword(s):  
Social Networks ◽  
Community Detection ◽  
Detection Method ◽  
User Engagement ◽  
Connection Strength ◽  
Information Propagation ◽  
Edge Strength ◽  
Strength Based ◽  
Network Propagation ◽  
Overlapping Community

The iterative propagation of information between nodes will strengthen the connection strength between nodes, and the network can evolve into different groups according to difference edge strength. Based on this observation, we present the user engagement to quantify the influences of users different propagation modes to network propagation, and construct weight network to simulate real social network, and proposed the community detection method in social networks based on information propagation and user engagement. Our method can produce different scale communities and overlapping community. We also applied our method to real-world social networks. The experiment proved that the network spread and the community division interact with each other. The community structure is significantly different in the network propagation of different scales.

A uniform framework of projection and community detection for one-mode network in bipartite networks

2017 ◽  
Vol 26 (12) ◽  
pp. 128901 ◽  
Author(s):  
Guolin Wu ◽  
Changgui Gu ◽  
Lu Qiu ◽  
Huijie Yang
Keyword(s):  
Community Detection ◽  
Bipartite Networks

scholarly journals Mathematical Model and Algorithm for Link Community Detection in Bipartite Networks

2015 ◽  
Vol 05 (05) ◽  
pp. 421-434 ◽  
Author(s):  
Zhenping Li ◽  
Shihua Zhang ◽  
Xiangsun Zhang
Keyword(s):  
Mathematical Model ◽  
Community Detection ◽  
Bipartite Networks
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