Bandingkan kaedah

	Analisis Rangkaian Ego	Analisis Sentraliti
Bidang	Analisis Rangkaian	Analisis Rangkaian
Keluarga	Process / pipeline	Process / pipeline
Tahun asal	1992 (Burt); foundational measurement formalised by Marsden 2002	1979
Pengasas	Ronald S. Burt (structural holes framework); Peter V. Marsden (egocentric measures)	Linton C. Freeman
Jenis	Descriptive / relational network analysis	Descriptive / exploratory network measure family
Sumber perintis	Burt, R.S. (1992). Structural Holes: The Social Structure of Competition. Harvard University Press. ISBN: 9780674843714	Freeman, L.C. (1979). Centrality in Social Networks: Conceptual Clarification. Social Networks, 1(3), 215-239.
Alias	personal network analysis, egocentric network analysis, Ego Ağı Analizi (Personal Network Analysis)	Merkeziyet Analizi (Degree, Betweenness, Eigenvector), node centrality, centrality measures, graph centrality
Berkaitan	6	5
Ringkasan	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.	Centrality analysis is a family of network-analytic measures, formalized by Freeman (1979), that quantifies the structural importance of individual nodes within a graph. Each centrality index captures a distinct mechanism of influence: degree centrality reflects direct connectivity, betweenness centrality identifies nodes that broker information flow, closeness centrality captures proximity to all others, and eigenvector centrality (along with PageRank) rewards connection to highly connected neighbors.