Comparer des méthodes

	Analyse de réseau d'ego	Prédiction de liens
Domaine	Analyse de réseaux	Analyse de réseaux
Famille	Process / pipeline	Process / pipeline
Année d'origine	1992 (Burt); foundational measurement formalised by Marsden 2002	2003
Auteur d'origine	Ronald S. Burt (structural holes framework); Peter V. Marsden (egocentric measures)	—
Type	Descriptive / relational network analysis	Network inference task
Source fondatrice	Burt, R.S. (1992). Structural Holes: The Social Structure of Competition. Harvard University Press. ISBN: 9780674843714	Liben-Nowell, D. & Kleinberg, J. (2007). The Link-Prediction Problem for Social Networks. Journal of the American Society for Information Science and Technology, 58(7), 1019-1031.
Alias	personal network analysis, egocentric network analysis, Ego Ağı Analizi (Personal Network Analysis)	Bağlantı Tahmini (Link Prediction), missing link prediction, future link prediction, edge prediction
Apparentées	6	5
Résumé	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.	Link prediction is a network-analysis task that estimates which edges are missing from an observed graph or which edges are likely to form in the future. Formalised by Liben-Nowell and Kleinberg (2003, 2007), it covers a spectrum of approaches — from simple structural similarity indices such as Common Neighbors, Jaccard coefficient, and Adamic-Adar, to matrix factorisation, and graph neural network (GNN) methods — and is evaluated with AUC and Average Precision to account for the heavily imbalanced ratio of real to non-existing edges.