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加权自我网络分析×加权社会网络分析×
领域网络分析网络分析
方法族Machine learningMachine learning
起源年份1954–20022004–2010
提出者Barnes, J. A.; Bott, E.; Marsden, P. V.Barrat, A.; Opsahl, T. et al.
类型Ego-centered network analysis with weighted tiesNetwork analysis framework
开创性文献Marsden, P. V. (2002). Egocentric and sociocentric measures of network centrality. Social Networks, 24(4), 407–422. DOI ↗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. DOI ↗
别名weighted personal network analysis, ego-centered weighted network analysis, weighted egonet analysis, tie-strength ego network analysisWeighted SNA, valued network analysis, tie-strength network analysis, weighted graph analysis
相关66
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 Social Network Analysis extends classical SNA by assigning numeric values — weights — to ties between actors, capturing tie strength, interaction frequency, or resource flow. Rather than treating all connections as equal, it reveals who holds privileged positions by virtue of the intensity, not merely the existence, of their relationships.
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ScholarGate方法对比: Weighted Ego Network Analysis · Weighted Social Network Analysis. 于 2026-06-19 检索自 https://scholargate.app/zh/compare