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ΠεδίοΑνάλυση ΔικτύωνΑνάλυση Δικτύων
ΟικογένειαProcess / pipelineProcess / pipeline
Έτος προέλευσης1992 (Burt); foundational measurement formalised by Marsden 20022003
ΔημιουργόςRonald S. Burt (structural holes framework); Peter V. Marsden (egocentric measures)
ΤύποςDescriptive / relational network analysisNetwork inference task
Θεμελιώδης πηγήBurt, R.S. (1992). Structural Holes: The Social Structure of Competition. Harvard University Press. ISBN: 9780674843714Liben-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. DOI ↗
Εναλλακτικές ονομασίεςpersonal network analysis, egocentric network analysis, Ego Ağı Analizi (Personal Network Analysis)Bağlantı Tahmini (Link Prediction), missing link prediction, future link prediction, edge prediction
Συναφείς65
ΣύνοψηEgo 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.
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ScholarGateΣύγκριση μεθόδων: Ego Network Analysis · Link Prediction. Ανακτήθηκε στις 2026-06-18 από https://scholargate.app/el/compare