Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Análisis de Redes Multiplex Ponderadas× | Análisis de Redes Multiplex× | |
|---|---|---|
| Campo | Análisis de redes | Análisis de redes |
| Familia | Machine learning | Machine learning |
| Año de origen | 2014 | 2014 |
| Autor original≠ | Battiston, F.; Kivela, M. et al. | Kivela, M.; Boccaletti, S. et al. |
| Tipo≠ | Network analysis framework | Structural network model |
| Fuente seminal≠ | Battiston, F., Nicosia, V., & Latora, V. (2014). Structural measures for multiplex networks. Physical Review E, 89(3), 032804. 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 ↗ |
| Alias | WMNA, weighted multilayer network analysis, weighted multi-relational network analysis, multiplex weighted graph analysis | multiplex networks, multi-layer network analysis, multilayer network analysis, MNA |
| Relacionados≠ | 5 | 6 |
| Resumen≠ | Weighted multiplex network analysis studies systems in which the same set of actors are connected through multiple types of relationships simultaneously, and each relationship carries a quantitative strength or frequency. By capturing both the variety and the intensity of ties across layers, it reveals patterns invisible to single-layer or unweighted network approaches. | 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. |
| ScholarGateConjunto de datos ↗ |
|
|