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PageRank Dirigit×Anàlisi de Xarxes Socials Direccionades×
CampAnàlisi de xarxesAnàlisi de xarxes
FamíliaMachine learningMachine learning
Any d'origen19981994
Autor originalBrin, S. & Page, L.Wasserman, S. & Faust, K.
TipusIterative authority-scoring algorithmStructural analysis of directed graphs
Font seminalBrin, 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
ÀliesPageRank, PR, Google PageRank, directed link analysisdirected SNA, digraph analysis, directed graph network analysis, asymmetric network analysis
Relacionats55
ResumDirected 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.
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ScholarGateCompara mètodes: Directed PageRank · Directed Social Network Analysis. Recuperat el 2026-06-17 de https://scholargate.app/ca/compare