Krahasoni metodat
Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.
| Analiza e Difuzionit në Rrjetet Shumështresore× | Analiza e Difuzionit në Rrjetet Temporale× | |
|---|---|---|
| Fusha | Analiza e rrjeteve | Analiza e rrjeteve |
| Familja | Machine learning | Machine learning |
| Viti i origjinës≠ | 2013–2014 | 2012 |
| Krijuesi≠ | Gomez, S. et al.; Boccaletti, S. et al. | Holme, P. & Saramäki, J. |
| Lloji≠ | Network diffusion model | Network analysis framework |
| Burimi themelues≠ | Gomez, S., Diaz-Guilera, A., Gomez-Gardenes, J., Perez-Vicente, C. J., Moreno, Y., & Arenas, A. (2013). Diffusion dynamics on multiplex networks. Physical Review Letters, 110(2), 028701. DOI ↗ | Holme, P. & Saramäki, J. (2012). Temporal networks. Physics Reports, 519(3), 97–125. DOI ↗ |
| Emërtime të tjera | multiplex diffusion analysis, multilayer spreading analysis, cross-layer contagion analysis, diffusion on multiplex networks | TNDA, dynamic network diffusion, time-varying network spreading, diffusion on temporal networks |
| Të lidhura≠ | 6 | 5 |
| Përmbledhja≠ | Multilayer Network Diffusion Analysis models how information, disease, or influence spreads across a system composed of multiple, interconnected network layers. By coupling diffusion processes across layers — for instance social ties, transport routes, and online channels simultaneously — it reveals how cross-layer interactions accelerate or dampen spreading and lowers epidemic thresholds compared to single-layer models. | Temporal Network Diffusion Analysis studies how information, disease, influence, or other contagions spread through networks whose structure changes over time. By modeling edges as time-stamped contacts rather than static links, it captures the critical role of timing and ordering in determining which nodes get reached, how fast, and through which pathways — producing conclusions that static network models systematically miss. |
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