Methoden vergleichen

	Gewichtete Ego-Netzwerkanalyse	Gewichtete Netzwerkanalyse (Weighted Social Network Analysis)
Fachgebiet	Netzwerkanalyse	Netzwerkanalyse
Familie	Machine learning	Machine learning
Entstehungsjahr	1954–2002	2004–2010
Urheber	Barnes, J. A.; Bott, E.; Marsden, P. V.	Barrat, A.; Opsahl, T. et al.
Typ	Ego-centered network analysis with weighted ties	Network analysis framework
Wegweisende Quelle	Marsden, P. V. (2002). Egocentric and sociocentric measures of network centrality. Social Networks, 24(4), 407–422.	Barrat, A., Barthélemy, M., Pastor-Satorras, R., & Vespignani, A. (2004). The architecture of complex weighted networks. Proceedings of the National Academy of Sciences, 101(11), 3747–3752.
Aliasnamen	weighted personal network analysis, ego-centered weighted network analysis, weighted egonet analysis, tie-strength ego network analysis	Weighted SNA, valued network analysis, tie-strength network analysis, weighted graph analysis
Verwandt	6	6
Zusammenfassung	Weighted ego network analysis examines the personal network of a focal actor (the ego) and incorporates tie strength — measured as interaction frequency, closeness, or resource exchange — as edge weights. By moving beyond simple presence or absence of a tie, it captures how much each relationship matters and how those varying strengths shape outcomes such as social support, information access, or influence.	Weighted Social Network Analysis extends classical SNA by assigning numeric values — weights — to ties between actors, capturing tie strength, interaction frequency, or resource flow. Rather than treating all connections as equal, it reveals who holds privileged positions by virtue of the intensity, not merely the existence, of their relationships.