Performance Analysis Of Various Community Detection Algorithms For Complex Networks

Document Type : Primary Research paper

Authors

1 Department Of Computer Science And Engineering, Bannari Amman Institute Of Technology

2 Department Of Computer Science And Engineering, Kongu Engineering College

3 Department Of Electronics And Communication Engineering, Kongu Engineering College

Abstract

Social Network Analysis Is An Important Research Area In Graph Data
Analytics. Many Studies Were Made On The Empirical Study And Theoretical Modeling
Of Complex Networks. Among Them, Community Detection May Be A Major Search Area
In The Networks. The Complex Networks Have Densely Connected Nodes And Edges.
There Exist A Number Of Connections Within The Group And Some Outside The Groups.
Many Studies Were Proposed Based On The Types Of Network, Algorithms Or Scale Of A
Network. There Is A Requirement For A Dynamic Method, Ready To Deal With Various
Kinds Of Datasets And The Nuances Of Group Structure. Here We Focus On An In-Depth
Comparative Review Which Includes All The Properties Of The Network. Since This
Progression Is Essential In Social Data Mining.

Keywords

Int. J. of Aquatic Science
Volume 12, Issue 3 - Serial Number 3
ICMMNT-2021 International Virtual Conference on Materials, Manufacturing and Nanotechnology, 30th June, 2021.
June 2021
Pages 1432-1443

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