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Centralidade de Proximidade Multicamadas×Centralidade de Grau Multicamada×
ÁreaAnálise de redesAnálise de redes
FamíliaMachine learningMachine learning
Ano de origem2013–20142013–2014
Autor originalKivela, M. et al.; De Domenico, M. et al.Kivelä, M.; De Domenico, M. et al.
TipoCentrality measure for multilayer networksCentrality measure for multilayer networks
Fonte seminalKivela, 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 ↗Kivelä, 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 ↗
Outros nomesmultilayer closeness, multi-layer closeness centrality, MLC, interlayer closeness centralitymultilayer degree, multiplex degree centrality, overlapping-layer degree centrality, MDC
Relacionados56
ResumoMultilayer 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.Multilayer degree centrality extends the classic degree centrality measure to networks composed of multiple layers — such as networks representing different types of social ties, communication channels, or relationship contexts simultaneously. It quantifies how many connections a node has across one or all layers, revealing nodes that are influential not just in a single context but across the entire multi-relational structure.
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ScholarGateComparar métodos: Multilayer Closeness Centrality · Multilayer Degree Centrality. Recuperado em 2026-06-19 de https://scholargate.app/pt/compare