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	Analýza časovej modularity	Časová detekcia komunít
Odbor	Analýza sietí	Analýza sietí
Rodina	Machine learning	Machine learning
Rok vzniku	2010	2010
Tvorca	Mucha, P. J., Richardson, T., Macon, K., Porter, M. A., & Onnela, J.-P.	Mucha, P. J. et al.
Typ	Community detection (temporal extension of modularity optimization)	Network clustering algorithm
Pôvodný zdroj	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.	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.
Ďalšie názvy	dynamic modularity, time-varying modularity, longitudinal community detection, temporal community structure analysis	dynamic community detection, time-varying community detection, evolutionary community detection, longitudinal community detection
Príbuzné	5	6
Zhrnutie	Temporal modularity analysis extends standard modularity-based community detection to time-varying networks by treating each time slice as a network layer and coupling adjacent layers with inter-temporal links. This allows researchers to identify how communities form, persist, merge, split, and dissolve over time in dynamic relational data.	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.