Methoden vergleichen

	Bipartite Network Analysis	Ego-Netzwerkanalyse – Analyse persönlicher Netzwerke
Fachgebiet	Netzwerkanalyse	Netzwerkanalyse
Familie	Process / pipeline	Process / pipeline
Entstehungsjahr	1997	1992 (Burt); foundational measurement formalised by Marsden 2002
Urheber	Borgatti & Everett (1997) formalised the two-mode network framework	Ronald S. Burt (structural holes framework); Peter V. Marsden (egocentric measures)
Typ	Graph-structural / relational analysis	Descriptive / relational network analysis
Wegweisende Quelle	Borgatti, S.P. & Everett, M.G. (1997). Network Analysis of 2-Mode Data. Social Networks, 19(3), 243-269.	Burt, R.S. (1992). Structural Holes: The Social Structure of Competition. Harvard University Press. ISBN: 9780674843714
Aliasnamen	two-mode network analysis, affiliation network analysis, İki Modlu Ağ Analizi (Bipartite Networks)	personal network analysis, egocentric network analysis, Ego Ağı Analizi (Personal Network Analysis)
Verwandt	5	6
Zusammenfassung	Bipartite network analysis, formalised by Borgatti and Everett in 1997, is a graph-structural method for studying networks in which nodes are divided into two disjoint sets — actors and events — and edges exist only between sets, never within them. It is the natural framework for author–paper, patient–disease, user–product, and any other affiliation data, and it extends one-mode network analysis by providing metrics and projection techniques tailored to the two-mode structure.	Ego network analysis examines the personal network of a focal individual — the ego — by mapping their direct contacts (alters) and the ties those contacts share with one another. Formalised through Ronald Burt's structural holes framework (1992) and Marsden's egocentric measurement approach (2002), the method produces ego-level indicators such as network size, density, constraint, and brokerage role that reveal how each individual's social position shapes their access to information, resources, and influence.