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定向自我网络分析×定向社交网络分析×
领域网络分析网络分析
方法族Machine learningMachine learning
起源年份1954–20051994
提出者Barnes, J. A.; Bott, E.; extended by Everett & BorgattiWasserman, S. & Faust, K.
类型Egocentric network methodStructural analysis of directed graphs
开创性文献Everett, M. G., & Borgatti, S. P. (2005). Ego network betweenness. Social Networks, 27(1), 31–38. DOI ↗Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1
别名directed personal network analysis, asymmetric ego network, directed egocentric network analysis, directed egonet analysisdirected SNA, digraph analysis, directed graph network analysis, asymmetric network analysis
相关55
摘要Directed ego network analysis examines the personal network of a focal node — the ego — by distinguishing the direction of each tie: who sends resources, support, or information to the ego, and to whom the ego sends them. This asymmetric perspective reveals role differentiation, dependence, and brokerage that undirected ego networks cannot capture.Directed Social Network Analysis (directed SNA) studies networks in which every tie has an explicit direction — from a sender to a receiver — rather than treating relationships as symmetric. It extends the classical SNA toolkit with in-degree, out-degree, reciprocity, and asymmetric path measures, making it the appropriate framework wherever relationship direction carries substantive meaning, such as citation flows, advice-seeking, follower graphs, or information cascades.
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ScholarGate方法对比: Directed Ego Network Analysis · Directed Social Network Analysis. 于 2026-06-18 检索自 https://scholargate.app/zh/compare