विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| Multiplex Network Analysis× | नेटवर्क प्रसार विश्लेषण× | |
|---|---|---|
| क्षेत्र | नेटवर्क विश्लेषण | नेटवर्क विश्लेषण |
| परिवार | Machine learning | Machine learning |
| उद्भव वर्ष≠ | 2014 | 1927 (epidemic roots); network formalization 1990s–2000s |
| प्रवर्तक≠ | Kivela, M.; Boccaletti, S. et al. | Kermack, W. O. & McKendrick, A. G. |
| प्रकार≠ | Structural network model | Simulation / analytical model |
| मौलिक स्रोत≠ | 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 ↗ | Kermack, W. O. & McKendrick, A. G. (1927). A contribution to the mathematical theory of epidemics. Proceedings of the Royal Society of London A, 115(772), 700–721. DOI ↗ |
| उपनाम | multiplex networks, multi-layer network analysis, multilayer network analysis, MNA | diffusion on networks, information diffusion, contagion spreading model, network propagation model |
| संबंधित≠ | 6 | 5 |
| सारांश≠ | 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. | Network diffusion analysis models how information, diseases, behaviors, or innovations spread across a graph of nodes and edges. Drawing on classical epidemic theory (SI, SIR, SIS) and modern network science, it tracks which nodes become infected, how quickly, and whether the spread reaches a global cascade or dies out locally. |
| ScholarGateडेटासेट ↗ |
|
|