An efficient method to detect communities in social networks using DBSCAN algorithm

Author:

Khatoon MehjabinORCID,Banu W. Aisha

Funder

University Grants Commission

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems

Reference26 articles.

1. Ben-david S, Haghtalab N (2014) Clustering in the presence of background noise. In: Proceedings of the 31st International Conference on Machine Learning, Beijing, China, pp 280–288

2. Blondel VD, Guillaume JL, Lambiotte R, Lefebvre E (2008) Fast unfolding of communities in large networks. J Stat Mech Theor Exp. https://doi.org/10.1088/1742-5468/2008/10/P10008

3. Chamberlain BP, Kramer JL, Humby C, Deisenroth MP (2018) Real-time community detection in full social networks on a laptop. PloS One. https://doi.org/10.1371/journal.pone.0188702

4. Chopade P, Zhan J (2015) Structural and functional analytics for community detection in large-scale complex networks. J Big Data 2:1–28

5. Clauset A, Newman ME, Moore C (2004) Finding community structure in very large networks. Phys Rev E 70:066111

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