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 ◽  
...  
2018 ◽  
Vol 492 ◽  
pp. 1679-1693 ◽  
Author(s):  
Cangqi Zhou ◽  
Liang Feng ◽  
Qianchuan Zhao

2021 ◽  
Author(s):  
Lu Guo ◽  
Ying Cui ◽  
Haili Liang ◽  
Zhao Zhou

Author(s):  
Fuzhong Nian ◽  
Li Luo ◽  
Xuelong Yu ◽  
Xin Guo

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.


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

2015 ◽  
Vol 05 (05) ◽  
pp. 421-434 ◽  
Author(s):  
Zhenping Li ◽  
Shihua Zhang ◽  
Xiangsun Zhang

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