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多層近接中心性×多重ネットワーク分析×
分野ネットワーク分析ネットワーク分析
系統Machine learningMachine learning
提唱年2013–20142014
提唱者Kivela, M. et al.; De Domenico, M. et al.Kivela, M.; Boccaletti, S. et al.
種類Centrality measure for multilayer networksStructural network model
原典Kivela, M., Arenas, A., Barthelemy, M., Gleeson, J. P., Moreno, Y., & Porter, M. A. (2014). Multilayer networks. Journal of Complex Networks, 2(3), 203–271. DOI ↗Kivela, M., Arenas, A., Barthelemy, M., Gleeson, J. P., Moreno, Y., & Porter, M. A. (2014). Multilayer networks. Journal of Complex Networks, 2(3), 203–271. DOI ↗
別名multilayer closeness, multi-layer closeness centrality, MLC, interlayer closeness centralitymultiplex networks, multi-layer network analysis, multilayer network analysis, MNA
関連56
概要Multilayer closeness centrality extends the classical closeness centrality measure to networks that contain multiple types of relationships or interaction contexts (layers). Rather than treating each layer in isolation, it computes how quickly a node can reach all others by traversing any combination of available layers, revealing nodes that are structurally efficient connectors across the full network system.Multiplex network analysis studies systems where the same set of nodes is connected by multiple distinct types of relationships, each represented as a separate network layer. By analyzing layers simultaneously rather than in isolation, it reveals how different relation types interact, reinforce each other, or compensate for one another across the same actors or entities.
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ScholarGate手法を比較: Multilayer Closeness Centrality · Multiplex Network Analysis. 2026-06-18に以下より取得 https://scholargate.app/ja/compare