قارن الطرق

	اكتشاف المجتمعات الزمنية	تحليل الشبكات المتعددة الطبقات
المجال	تحليل الشبكات	تحليل الشبكات
العائلة	Machine learning	Machine learning
سنة النشأة	2010	2014
صاحب الطريقة	Mucha, P. J. et al.	Kivela, M.; Boccaletti, S. et al.
النوع	Network clustering algorithm	Structural network model
المصدر التأسيسي	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.	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.
الأسماء البديلة	dynamic community detection, time-varying community detection, evolutionary community detection, longitudinal community detection	multiplex networks, multi-layer network analysis, multilayer network analysis, MNA
ذات صلة	6	6
الملخص	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.