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Analyse des réseaux sociaux orientés×PageRank Dirigé×
DomaineAnalyse de réseauxAnalyse de réseaux
FamilleMachine learningMachine learning
Année d'origine19941998
Auteur d'origineWasserman, S. & Faust, K.Brin, S. & Page, L.
TypeStructural analysis of directed graphsIterative authority-scoring algorithm
Source fondatriceWasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1Brin, S. & Page, L. (1998). The anatomy of a large-scale hypertextual Web search engine. Proceedings of the 7th International Conference on World Wide Web (WWW7), 107–117. Elsevier. link ↗
Aliasdirected SNA, digraph analysis, directed graph network analysis, asymmetric network analysisPageRank, PR, Google PageRank, directed link analysis
Apparentées55
RésuméDirected 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.Directed PageRank is a link-based authority scoring algorithm that assigns importance scores to nodes in a directed graph by iteratively redistributing rank through outgoing edges. Introduced by Brin and Page in 1998 as the backbone of Google Search, it measures not just how many in-links a node has but how authoritative the nodes pointing to it are.
ScholarGateJeu de données
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ScholarGateComparer des méthodes: Directed Social Network Analysis · Directed PageRank. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare