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| Detekcija temporalnih zajednica× | Analiza multipleks mreža× | |
|---|---|---|
| Oblast | Analiza mreža | Analiza mreža |
| Porodica | Machine learning | Machine learning |
| Godina nastanka≠ | 2010 | 2014 |
| Tvorac≠ | Mucha, P. J. et al. | Kivela, M.; Boccaletti, S. et al. |
| Tip≠ | Network clustering algorithm | Structural network model |
| Temeljni izvor≠ | Mucha, P. J., Richardson, T., Macon, K., Porter, M. A., & Onnela, J.-P. (2010). Community structure in time-dependent, multiscale, and multiplex networks. Science, 328(5980), 876–878. 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 ↗ |
| Drugi nazivi | dynamic community detection, time-varying community detection, evolutionary community detection, longitudinal community detection | multiplex networks, multi-layer network analysis, multilayer network analysis, MNA |
| Srodne | 6 | 6 |
| Sažetak≠ | Temporal community detection identifies cohesive groups (communities) in networks whose structure changes over time. By treating each time snapshot as a network layer and coupling consecutive layers, it reveals how communities form, merge, split, grow, or dissolve — turning a sequence of static snapshots into a continuous narrative of group evolution. | 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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