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خانوادهMachine learningMachine learning
سال پیدایش19941934 (sociometry); 1994 (modern formalization)
پدیدآورWasserman, S. & Faust, K.Moreno, J.L.; formalized by Wasserman & Faust
نوعStructural analysis of directed graphsStructural/relational analysis framework
منبع بنیادینWasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1
نام‌های دیگرdirected SNA, digraph analysis, directed graph network analysis, asymmetric network analysisSNA, network analysis, sociometric analysis, relational analysis
مرتبط55
خلاصهDirected 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.Social Network Analysis (SNA) is a structural method that maps and measures relationships and flows between people, groups, organizations, or other entities modeled as nodes connected by ties (edges). Rather than focusing on individual attributes, SNA reveals how the pattern of connections shapes behavior, influence, information flow, and outcomes within a system.
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ScholarGateمقایسهٔ روش‌ها: Directed Social Network Analysis · Social Network Analysis. بازیابی‌شده در 2026-06-18 از https://scholargate.app/fa/compare