Community detection in attributed networks using neighborhood information-Reference-Cited by-同舟云学术

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Community detection in attributed networks using neighborhood information

Published:2024-04-10 Issue:6 Volume:27 Page:8349-8366
ISSN:1386-7857
Container-title:Cluster Computing
language:en
Short-container-title:Cluster Comput

Author:

Wang Xiaozong,Tang Fengqin,Wang Yuanyuan,Li Cuixia,Zhao Xuejing

Funder

National Natural Science Foundation of China

Natural Science Foundation of Anhui Province

Excellent Young Talents Fund Program of Higher Education Institutions of Anhui Province

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10586-024-04457-9.pdf

Reference41 articles.

1. Krivitsky, P.N., Handcock, M.S., Raftery, A.E., Hoff, P.D.: Representing degree distributions, clustering, and homophily in social networks with latent cluster random effects models. Soc. Netw. 31(3), 204–213 (2009)

2. Kleinfeld, J.S.: The small world problem. Soc.-New Brunswick 39(2), 61–66 (2002)

3. Mariadassou, M., Robin, S., Vacher, C.: Uncovering latent structure in valued graphs: a variational approach. Ann. Appl. Stat. (2010). https://doi.org/10.1214/10-AOAS361

4. Ruan, J., Zhang, W.: An efficient spectral algorithm for network community discovery and its applications to biological and social networks. In: Seventh IEEE International Conference on Data Mining (ICDM 2007), pp. 643–648 (2007). IEEE

5. Newman, M.E., Girvan, M.: Finding and evaluating community structure in networks. Phys. Rev. E 69(2), 026113 (2004)

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