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Vremenska analiza društvenih mreža×Analiza mrežá múltićih slojeva×
PodručjeAnaliza mrežaAnaliza mreža
ObiteljMachine learningMachine learning
Godina nastanka2000s–2010s2014
TvoracMoody, J.; Holme, P.; Saramäki, J.Kivela, M.; Boccaletti, S. et al.
VrstaLongitudinal network analysisStructural network model
Temeljni izvorHolme, P., & Saramäki, J. (2012). Temporal networks. Physics Reports, 519(3), 97–125. 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 naziviTSNA, longitudinal social network analysis, time-varying network analysis, dynamic SNAmultiplex networks, multi-layer network analysis, multilayer network analysis, MNA
Srodne46
SažetakTemporal 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.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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ScholarGateUsporedite metode: Temporal Social Network Analysis · Multiplex Network Analysis. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare