方法对比

	加权自我网络分析	加权度中心性
领域	网络分析	网络分析
方法族	Machine learning	Machine learning
起源年份	1954–2002	2004
提出者	Barnes, J. A.; Bott, E.; Marsden, P. V.	Barrat, A.; Barthélemy, M.; Pastor-Satorras, R.; Vespignani, A.
类型	Ego-centered network analysis with weighted ties	Centrality measure for weighted networks
开创性文献	Marsden, P. V. (2002). Egocentric and sociocentric measures of network centrality. Social Networks, 24(4), 407–422.	Barrat, A., Barthélemy, M., Pastor-Satorras, R., & Vespignani, A. (2004). The architecture of complex weighted networks. Proceedings of the National Academy of Sciences, 101(11), 3747–3752.
别名	weighted personal network analysis, ego-centered weighted network analysis, weighted egonet analysis, tie-strength ego network analysis	node strength, strength centrality, weighted node degree, WDC
相关	6	6
摘要	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.	Weighted degree centrality — also called node strength — extends the classic degree centrality measure to networks whose edges carry numeric weights. Instead of simply counting a node's connections, it sums the weights of all edges incident to that node, capturing both the volume and the intensity of a node's ties in a single, interpretable score.