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Evolutionary Centrality and Maximal Cliques in Mobile Social Networks


Affiliations
1 School of Engineering & Information Systems, Morehead State University Morehead, KY, United States
2 Computer Engineering and Computer Science Department, University of Louisville Louisville, KY, United States
 

This paper introduces an evolutionary approach to enhance the process of finding central nodes in mobile networks. This can provide essential information and important applications in mobile and social networks. This evolutionary approach considers the dynamics of the network and takes into consideration the central nodes from previous time slots. We also study the applicability of maximal cliques algorithms in mobile social networks and how it can be used to find the central nodes based on the discovered maximal cliques. The experimental results are promising and show a significant enhancement in finding the central nodes.

Keywords

Centrality, Social Networks, Network Science, Mobile Networks, Evolutionary Centrality, Maximal Cliques.
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  • Evolutionary Centrality and Maximal Cliques in Mobile Social Networks

Abstract Views: 480  |  PDF Views: 159

Authors

Heba Elgazzar
School of Engineering & Information Systems, Morehead State University Morehead, KY, United States
Adel Elmaghraby
Computer Engineering and Computer Science Department, University of Louisville Louisville, KY, United States

Abstract


This paper introduces an evolutionary approach to enhance the process of finding central nodes in mobile networks. This can provide essential information and important applications in mobile and social networks. This evolutionary approach considers the dynamics of the network and takes into consideration the central nodes from previous time slots. We also study the applicability of maximal cliques algorithms in mobile social networks and how it can be used to find the central nodes based on the discovered maximal cliques. The experimental results are promising and show a significant enhancement in finding the central nodes.

Keywords


Centrality, Social Networks, Network Science, Mobile Networks, Evolutionary Centrality, Maximal Cliques.

References