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| Multilayer Community Detection× | Multiplex Hálózatok Elemzése× | |
|---|---|---|
| Tudományterület | Hálózatelemzés | Hálózatelemzés |
| Módszercsalád | Machine learning | Machine learning |
| Keletkezés éve≠ | 2010–2014 | 2014 |
| Megalkotó≠ | Mucha, P. J. et al.; Kivela, M. et al. | Kivela, M.; Boccaletti, S. et al. |
| Típus≠ | Community detection algorithm for multilayer networks | Structural network model |
| Alapmű | 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 ↗ |
| Alternatív nevek | multilayer clustering, multiplex community detection, cross-layer community detection, MCD | multiplex networks, multi-layer network analysis, multilayer network analysis, MNA |
| Kapcsolódó≠ | 5 | 6 |
| Összefoglaló≠ | Multilayer community detection identifies groups of nodes that are densely connected across multiple types of relationships simultaneously. By coupling layers of a network — such as friendship, advice, and collaboration ties — it finds communities that are coherent not just within one relation type but across all of them, revealing structure that single-layer analysis would miss. | 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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