Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Vícevrstvá centralita blízkosti× | Vícevrstvá centralita stupně× | |
|---|---|---|
| Obor | Analýza sítí | Analýza sítí |
| Rodina | Machine learning | Machine learning |
| Rok vzniku | 2013–2014 | 2013–2014 |
| Tvůrce≠ | Kivela, M. et al.; De Domenico, M. et al. | Kivelä, M.; De Domenico, M. et al. |
| Typ | Centrality measure for multilayer networks | Centrality measure for multilayer networks |
| Původní zdroj≠ | 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 ↗ | 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 ↗ |
| Další názvy | multilayer closeness, multi-layer closeness centrality, MLC, interlayer closeness centrality | multilayer degree, multiplex degree centrality, overlapping-layer degree centrality, MDC |
| Příbuzné≠ | 5 | 6 |
| Shrnutí≠ | 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. | 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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