INFORMATION CHANGE THE WORLD

International Journal of Computer Network and Information Security(IJCNIS)

ISSN: 2074-9090 (Print), ISSN: 2074-9104 (Online)

Published By: MECS Press

IJCNIS Vol.6, No.12, Nov. 2014

Communication Centrality in Dynamic Networks Using Time-Ordered Weighted Graph

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Author(s)

Ali M. Meligy, Hani M. Ibrahem, Ebtesam A. Othman

Index Terms

Social Network Analysis;Centrality measures;Time-ordered weighted graph;directed h-degree;Temporal communication centrality

Abstract

Centrality is an important concept in the study of social network analysis (SNA), which is used to measure the importance of a node in a network. While many different centrality measures exist, most of them are proposed and applied to static networks. However, most types of networks are dynamic that their topology changes over time. A popular approach to represent such networks is to construct a sequence of time windows with a single aggregated static graph that aggregates all edges observed over some time period. In this paper, an approach which overcomes the limitation of this representation is proposed based on the notion of the time-ordered graph, to measure the communication centrality of a node in dynamic networks.

Cite This Paper

Ali M. Meligy, Hani M. Ibrahem, Ebtesam A. Othman,"Communication Centrality in Dynamic Networks Using Time-Ordered Weighted Graph", IJCNIS, vol.6, no.12, pp.21-27, 2014. DOI: 10.5815/ijcnis.2014.12.03

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