An efficient method to detect communities in social networks using DBSCAN algorithm-Reference-Cited by-同舟云学术

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

Published:2019-03-12 Issue:1 Volume:9 Page:
ISSN:1869-5450
Container-title:Social Network Analysis and Mining
language:en
Short-container-title:Soc. Netw. Anal. Min.

Author:

Khatoon Mehjabin^ORCID,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

Link

http://link.springer.com/content/pdf/10.1007/s13278-019-0554-1.pdf

Reference26 articles.

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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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