The many facets of community detection in complex networks-Reference-Cited by-同舟云学术

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The many facets of community detection in complex networks

Published:2017-02-15 Issue:1 Volume:2 Page:
ISSN:2364-8228
Container-title:Applied Network Science
language:en
Short-container-title:Appl Netw Sci

Author:

Schaub Michael T.,Delvenne Jean-Charles,Rosvall Martin,Lambiotte Renaud

Funder

Swedish Research Council

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computer Networks and Communications,Multidisciplinary

Link

http://link.springer.com/content/pdf/10.1007/s41109-017-0023-6.pdf

Reference73 articles.

1. Ahn YY, Bagrow JP, Lehmann S (2010) Link communities reveal multiscale complexity in networks. Nature 466(7307): 761–764. doi: http://dx.doi.org/10.1038/nature09182 .

2. Aicher C, Jacobs AZ, Clauset A (2014) Learning latent block structure in weighted networks. J Complex Netw3(2): 221–248. doi: 10.1093/comnet/cnu026 .

3. Alpert CJ, Kahng AB (1995) Recent directions in netlist partitioning: a survey. Integration VLSI J 19(1): 1–81.

4. Andersen R, Chung F, Lang K (2006) Local graph partitioning using pagerank vectors In: 2006 47th Annual IEEE Symposium on Foundations of Computer Science (FOCS’06), 475–486.. IEEE. doi: 10.1109/FOCS.2006.44 .

5. Anderson CJ, Wasserman S, Faust K (1992) Building stochastic blockmodels. Soc Netw 14(1): 137–161.

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