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Reseach Article

A Clustering Algorithm in Complex Social Networks

by Veera Nagaiah Maddikayala, R Chandrasekhar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 103 - Number 4
Year of Publication: 2014
Authors: Veera Nagaiah Maddikayala, R Chandrasekhar
10.5120/18063-8996

Veera Nagaiah Maddikayala, R Chandrasekhar . A Clustering Algorithm in Complex Social Networks. International Journal of Computer Applications. 103, 4 ( October 2014), 24-28. DOI=10.5120/18063-8996

@article{ 10.5120/18063-8996,
author = { Veera Nagaiah Maddikayala, R Chandrasekhar },
title = { A Clustering Algorithm in Complex Social Networks },
journal = { International Journal of Computer Applications },
issue_date = { October 2014 },
volume = { 103 },
number = { 4 },
month = { October },
year = { 2014 },
issn = { 0975-8887 },
pages = { 24-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume103/number4/18063-8996/ },
doi = { 10.5120/18063-8996 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:33:41.707209+05:30
%A Veera Nagaiah Maddikayala
%A R Chandrasekhar
%T A Clustering Algorithm in Complex Social Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 103
%N 4
%P 24-28
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Complex networks are real graphs (networks) with non-trivial topological features. The empirical study of real-world networks like computer networks and social networks gives insights into the structures and properties of such networks. Identification of community structure is one of the important problems in social networks. Tightly knit group of nodes (Cluster) characterized by a relatively high density of ties (links) tend to be greater than the nodes that have average probability of ties randomly established [8][16]. In this paper a novel clustering algorithm is developed in complex social networks to detect the communities with close relations where in, everybody is aware of every other in their group called cluster. Determining such groups is the main concern of this paper. Some of the social networks are online Facebook, LinkedIn, Twitter and day today socializing. Graph Theoretic approach is followed for finding the clusters. Perfect graph structures are investigated in the complex social networks.

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Index Terms

Computer Science
Information Sciences

Keywords

Complex social networks scale-free networks perfect graphs social clusters independent set and cliques.