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📢 Call for Papers — Volume 13, Issue 7 (July 2026) | Submission Deadline: July 31, 2026 | Rapid peer review: 2–3 days | Impact Factor: 7.37 (SJIF 2026)

Paper Details

📄 IJAERD-OJS-3856

Community detection Using Modularity

Author(s):HarekrishnaMili
Institution:Department of Mathematics, Dibrugarh University, Dibrugarh-786004
Published In:Vol. 4, Issue 10 — October 2017
Page No.:376-380
Domain:Engineering
Type:Research Paper
ISSN (Online):2348-4470
ISSN (Print):2348-6406
Abstract

In this paper, consider an algorithm of a community detection taking the diameter of the community as akey parameter. To measure the quality of the community structure in a network, a new metric called 'Modulariry' is used.To have a good quality community structure, the diameter of a community is make always small, upper bounded thediameter by a certain value k<<D , where D is the diameter of the network. In terms of Modularity of the communitystructure, the algorithm performs better than the existing algorithm by simulation on Zachary karate club, Dolphinnetwork and football club. Also the definition of modularity given in this paper can compare the community structure ofa given network better.

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🕮 How to Cite

HarekrishnaMili, “Community detection Using Modularity”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 10, pp. 376-380, October 2017.

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Vol. 13 | Issue 7
July 2026