Methoden vergleichen

	Gewichtete Ego-Netzwerkanalyse	Betweenness-Zentralität
Fachgebiet	Netzwerkanalyse	Netzwerkanalyse
Familie	Machine learning	Machine learning
Entstehungsjahr	1954–2002	1977
Urheber	Barnes, J. A.; Bott, E.; Marsden, P. V.	Freeman, L. C.
Typ	Ego-centered network analysis with weighted ties	Centrality measure
Wegweisende Quelle	Marsden, P. V. (2002). Egocentric and sociocentric measures of network centrality. Social Networks, 24(4), 407–422.	Freeman, L. C. (1977). A set of measures of centrality based on betweenness. Sociometry, 40(1), 35–41.
Aliasnamen	weighted personal network analysis, ego-centered weighted network analysis, weighted egonet analysis, tie-strength ego network analysis	Freeman betweenness, BC, geodesic betweenness, shortest-path betweenness
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.	Betweenness centrality, formalized by Linton C. Freeman in 1977, measures how often a node lies on the shortest path connecting every other pair of nodes in a network. High-betweenness nodes act as bridges or brokers: removing them fragments the network into disconnected components more severely than removing any other nodes.