Compara mètodes

	Anàlisi Dinàmica de Xarxes de l'Ego	Anàlisi de Xarxes Temporals
Camp	Anàlisi de xarxes	Anàlisi de xarxes
Família	Machine learning	Process / pipeline
Any d'origen	1990s–2015	2012
Autor original	Burt, R. S.; Wellman, B. (foundational ego-net); dynamic extension developed across the 1990s–2010s	Holme & Saramäki (2012) — seminal framework
Tipus	Longitudinal network analysis framework	Dynamic graph analysis
Font seminal	Burt, R. S. (1992). Structural Holes: The Social Structure of Competition. Harvard University Press. ISBN: 978-0-674-84372-1	Holme, P. & Saramäki, J. (2012). Temporal Networks. Physics Reports, 519(3), 97-125.
Àlies	longitudinal ego network analysis, temporal ego network analysis, personal network dynamics, dynamic personal network analysis	dynamic network analysis, time-varying network analysis, Zamansal Ağ Analizi (Temporal / Dynamic Networks)
Relacionats	3	3
Resum	Dynamic ego network analysis examines how the personal network surrounding a focal individual (the ego) changes over time. By collecting the same ego-centered network data at multiple time points, researchers can track tie formation and dissolution, shifts in network composition, and changes in structural properties such as density, constraint, and network size — and link these dynamics to individual outcomes.	Temporal network analysis, formalised by Holme and Saramäki in their landmark 2012 Physics Reports survey, is the study of networks in which edges appear and disappear over time. Rather than collapsing all contacts into a single static graph, the approach preserves the precise timing of interactions — whether as contact sequences, time-stamped event lists, or windowed snapshots — and uses that timing to track how influence, disease, or information can actually propagate through the system.