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PageRank Dirigé×Analyse des réseaux sociaux orientés×
DomaineAnalyse de réseauxAnalyse de réseaux
FamilleMachine learningMachine learning
Année d'origine19981994
Auteur d'origineBrin, S. & Page, L.Wasserman, S. & Faust, K.
TypeIterative authority-scoring algorithmStructural analysis of directed graphs
Source fondatriceBrin, 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 ↗Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1
AliasPageRank, PR, Google PageRank, directed link analysisdirected SNA, digraph analysis, directed graph network analysis, asymmetric network analysis
Apparentées55
RésuméDirected 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.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.
ScholarGateJeu de données
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  2. 2 Sources
  3. PUBLISHED
  1. v1
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  3. PUBLISHED

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ScholarGateComparer des méthodes: Directed PageRank · Directed Social Network Analysis. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare