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| Monikerroksinen kaksitilaverkkoanalyysi× | Multipleksiverkkoanalyysi× | |
|---|---|---|
| Tieteenala | Verkostoanalyysi | Verkostoanalyysi |
| Menetelmäperhe | Machine learning | Machine learning |
| Syntyvuosi≠ | 2010s (synthesis of two-mode and multilayer frameworks) | 2014 |
| Kehittäjä≠ | Kivela et al. (multilayer); Borgatti & Everett (two-mode foundations) | Kivela, M.; Boccaletti, S. et al. |
| Tyyppi≠ | Network analysis framework | Structural network model |
| Alkuperäislähde | 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 ↗ |
| Rinnakkaisnimet | multilayer bipartite network analysis, multi-layer two-mode network, multiplex bipartite network analysis, ML-TMNA | multiplex networks, multi-layer network analysis, multilayer network analysis, MNA |
| Liittyvät | 6 | 6 |
| Tiivistelmä≠ | Multilayer two-mode network analysis extends bipartite (two-mode) network analysis to settings where actors and artifacts — people and publications, firms and markets, genes and diseases — are connected across multiple distinct relationship layers or time slices simultaneously. It captures how dual-membership structures evolve, overlap, or interact across contexts that a single-layer bipartite graph cannot represent. | 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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