Сравнение методов

	Анализ взвешенных эгоцентрических сетей	Центральность по степени
Область	Сетевой анализ	Сетевой анализ
Семейство	Machine learning	Machine learning
Год появления	1954–2002	1978
Автор метода	Barnes, J. A.; Bott, E.; Marsden, P. V.	Freeman, L. C.
Тип	Ego-centered network analysis with weighted ties	Node-level centrality measure
Основополагающий источник	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.
Другие названия	weighted personal network analysis, ego-centered weighted network analysis, weighted egonet analysis, tie-strength ego network analysis	node degree, degree score, DC, connectivity centrality
Связанные	6	6
Сводка	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.