Work place: Department of Computer Science and engineering, Thapar University Patiala-147004, Punjab, India
E-mail: abhaymahajan05@gmail.com
Website:
Research Interests: Computational Mathematics, Computer systems and computational processes, Artificial Intelligence, Swarm Intelligence
Biography
Abhay Mahajan is a Research Scholar at Computer science and Engineering Department, Thapar University, Patiala, India. He is doing Master’s in Technology in Computer science and applications in Department of Computer Science and Engineering from Thapar University. His research interests focus on the area of applied computational intelligence, with a focus on applications using new and emerging technologies. His aim is to identifying areas in which computer can facilitate creative knowledge work, scientific problem solving environments and networked engineering design.
By Abhay Mahajan Maninder Kaur
DOI: https://doi.org/10.5815/ijitcs.2016.04.05, Pub. Date: 8 Apr. 2016
Identifying strongly associated clusters in large complex networks has received an increased amount of interest since the past decade. The problem of community detection in complex networks is an NP complete problem that necessitates the clustering of a network into communities of compactly linked nodes in such a manner that the interconnection between the nodes is found to be denser than the intra-connection between the communities. In this paper, different approaches given by the authors in the field of community detection have been described with each methodology being classified according to algorithm type, along with the comparative analysis of these approaches on the basis of NMI and Modularity for four real world networks.
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