Detecting community structure using biased random merging-Reference-Cited by-同舟云学术

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Detecting community structure using biased random merging

Published:2012-02 Issue:4 Volume:391 Page:1797-1810
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Liu Xu,Forrest Jeffrey Yi-Lin,Luo Qiang,Yi Dong-Yun

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistics and Probability

Reference46 articles.

1. Statistical mechanics of complex networks;Albert;Reviews of Modern Physics,2002

2. The structure and function of complex networks;Newman;SIAM Review,2003

3. Complex networks: structure and dynamics;Boccaletti;Physics Reports,2006

4. L.F. Costa, O.N. Oliveira Jr., G. Travieso, F.A. Rodrigues, P.R.V. Boas, L. Antiqueira, M.P. Viana, L.E.C. Da Rocha, Analyzing and modeling real-world phenomena with complex networks: a survey of applications, Arxiv preprint http://arxiv.org/abs/0711.3199.

5. Synchronization reveals topological scales in complex networks;Arenas;Physical Review Letters,2006

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A graph clustering method for community detection in complex networks;Physica A: Statistical Mechanics and its Applications;2017-03

2. Detecting overlapping communities in networks using the maximal sub-graph and the clustering coefficient;Physica A: Statistical Mechanics and its Applications;2014-07

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