A Survey on Centrality Metrics and Their Implications in Network Resilience

November 30, 2020 ยท The Cartographer ยท ๐Ÿ› IEEE Access

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
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"Title-pattern auto-detect: A Survey on Centrality Metrics and Their Implications in Network Resilience"

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Authors Zelin Wan, Yash Mahajan, Beom Woo Kang, Terrence J. Moore, Jin-Hee Cho arXiv ID 2011.14575 Category cs.SI: Social & Info Networks Citations 81 Venue IEEE Access Last Checked 1 day ago
Abstract
Centrality metrics have been used in various networks, such as communication, social, biological, geographic, or contact networks. In particular, they have been used in order to study and analyze targeted attack behaviors and investigated their effect on network resilience. Although a rich volume of centrality metrics has been developed for decades, a limited set of centrality metrics have been commonly in use. This paper aims to introduce various existing centrality metrics and discuss their applicabilities and performance based on the results obtained from extensive simulation experiments to encourage their use in solving various computing and engineering problems in networks.
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