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| Multilayer Community Detection× | Multirétegű társashálózati elemzés× | |
|---|---|---|
| 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 analysis framework |
| 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 | MSNA, multiplex network analysis, multilayer network analysis, interconnected network analysis |
| 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. | Multilayer social network analysis extends classical single-layer network methods to settings where actors are connected through multiple, distinct types of ties — such as friendship, professional collaboration, and online interaction — simultaneously. By modeling each type of relationship as a separate layer and explicitly representing connections across layers, it captures structural complexity that a single aggregated network would hide. |
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