Usporedite metode

	Analiza ponderiranih ego mreža	Središnja svojstva stupnja
Područje	Analiza mreža	Analiza mreža
Obitelj	Machine learning	Machine learning
Godina nastanka	1954–2002	1978
Tvorac	Barnes, J. A.; Bott, E.; Marsden, P. V.	Freeman, L. C.
Vrsta	Ego-centered network analysis with weighted ties	Node-level centrality measure
Temeljni izvor	Marsden, P. V. (2002). Egocentric and sociocentric measures of network centrality. Social Networks, 24(4), 407–422.	Freeman, L. C. (1978). Centrality in social networks: Conceptual clarification. Social Networks, 1(3), 215–239.
Drugi nazivi	weighted personal network analysis, ego-centered weighted network analysis, weighted egonet analysis, tie-strength ego network analysis	node degree, degree score, DC, connectivity centrality
Srodne	6	6
Sažetak	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.	Degree centrality is the simplest and most intuitive measure of a node's importance in a network, defined as the number of direct ties a node has to other nodes. Normalized by dividing by the maximum possible ties, it allows comparison across networks of different sizes and is the starting point of almost every network analysis.