Σύγκριση μεθόδων

	Ανάλυση Χρονικής Αρθρωτότητας	Χρονική Ανάλυση Κοινωνικών Δικτύων
Πεδίο	Ανάλυση Δικτύων	Ανάλυση Δικτύων
Οικογένεια	Machine learning	Machine learning
Έτος προέλευσης	2010	2000s–2010s
Δημιουργός	Mucha, P. J., Richardson, T., Macon, K., Porter, M. A., & Onnela, J.-P.	Moody, J.; Holme, P.; Saramäki, J.
Τύπος	Community detection (temporal extension of modularity optimization)	Longitudinal network analysis
Θεμελιώδης πηγή	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.	Holme, P., & Saramäki, J. (2012). Temporal networks. Physics Reports, 519(3), 97–125.
Εναλλακτικές ονομασίες	dynamic modularity, time-varying modularity, longitudinal community detection, temporal community structure analysis	TSNA, longitudinal social network analysis, time-varying network analysis, dynamic SNA
Συναφείς	5	4
Σύνοψη	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 Social Network Analysis (TSNA) extends classic social network analysis by treating networks as time-varying structures. Rather than aggregating all ties into a single static snapshot, TSNA tracks when ties form, persist, and dissolve, enabling researchers to study how social structures evolve and how dynamic connectivity shapes diffusion, influence, and inequality over time.