An efficient community discovery algorithm based on synchronous dynamic model-Reference-Cited by-同舟云学术

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An efficient community discovery algorithm based on synchronous dynamic model

Published:2019-07-17 Issue:3 Volume:19 Page:647-658
ISSN:1472-7978
Container-title:Journal of Computational Methods in Sciences and Engineering
language:
Short-container-title:JCM

Author:

Wang Liufang¹,Zhi Fenxiang¹,Li Yiran²,Zhang Yanyan³

Affiliation:

1. Hebi Automotive Engineering Professional College, Hebi Vocational Education Park, Hebi, Henan 458030, China

2. State Grid Corporation of China, Xinzheng, Henan 451100, China

3. Institute of Matheatics and Information Technology, Jiaxing College, Jiaxing, Zhejiang 314000, China

Publisher

IOS Press

Subject

Computational Mathematics,Computer Science Applications,General Engineering

Reference27 articles.

1. S. Lim and S. Ryu, Overlapping community detection using the link-space transformation, IEEE 30th International Conference on Data Engineering (2014), 292–303.

2. W.J. Zhang et al., Overlapping Community detection via link partion of asymmetric weighted graph, IEEE International Conference on Security (2014), 430–435.

3. Towards online multiresolution community detection in large-scale networks;Huang;Plos One,2011

4. Detecting community structure in networks;Newman;European Physical Journal B,2004

5. Overlapping community detection using neighborhood ratio matrix;Eustace;Physica a Statistical Mechanics and its Applications,2015

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