Communication Centrality in Dynamic Networks Using Time-Ordered Weighted Graph
Автор: Ali M. Meligy, Hani M. Ibrahem, Ebtesam A. Othman
Журнал: International Journal of Computer Network and Information Security(IJCNIS) @ijcnis
Статья в выпуске: 12 vol.6, 2014 года.
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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.
Social Network Analysis, Centrality measures, Time-ordered weighted graph, directed h-degree, Temporal communication centrality
Короткий адрес: https://sciup.org/15011365
IDR: 15011365
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