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CNEM: Cluster based Network evolution model.

Author(s)
Sarwat Nizamani Department of Computer Science, Univesity of Sindh, Mirpur Khas Campus, Pakistan
Nasrullah Memon The Maersk McKinney Moller Institute, University of Southern, Denmark
Abstract
This paper presents a network evolution model which is based on the clustering approach. The proposed approach depicts the network evolution, which demonstrates the network formation from individual nodes to fully evolved network. An agglomerative hierarchical clustering method is applied for the evolution of network. In this paper, we present three case studies which show the evolution of the networks from the scratch. These case studies include: terrorist network of 9/11 incidents, terrorist network of WMD (Weapons Mass Destruction) plot against France and a network of tweets discussing a topic. The network of 9/11 is also used for evaluation, using other social network analysis methods which show that the clusters created using the proposed model of network evolution are of good quality, thus the proposed method can be used by law enforcement agencies in order to further investigate the criminal networks.
Publication Details
Page(s) 61-69
DOI DOI not available
Published Journal: Mehran University Research Journal of Engineering and Technology, Volume: 34, Issue: 1, Year: 2015

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