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| Analýza smerovaných multiplexných sietí× | Viacvrstvová analýza sociálnych sietí× | |
|---|---|---|
| Odbor | Analýza sietí | Analýza sietí |
| Rodina | Machine learning | Machine learning |
| Rok vzniku≠ | 2013–2014 | 2014 |
| Tvorca≠ | Kivela, M.; De Domenico, M. et al. | Kivela, M.; Boccaletti, S. et al. |
| Typ≠ | Multi-layer directed graph framework | Structural network analysis framework |
| Pôvodný 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 ↗ | 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 ↗ |
| Ďalšie názvy | directed multilayer network analysis, directed multiplex graphs, asymmetric multiplex network analysis, DMNA | MSNA, multiplex network analysis, multilayer network analysis, interconnected network analysis |
| Príbuzné | 6 | 6 |
| Zhrnutie≠ | Directed multiplex network analysis models systems where the same set of nodes are connected by multiple types of directed (asymmetric) relationships across distinct layers — such as citation flows, information cascades, or authority hierarchies co-existing simultaneously. It extends multiplex network analysis by preserving both layer identity and edge directionality, enabling richer structural and dynamic insights. | 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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