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Anàlisi de Xarxes Socials Direccionades×PageRank Dirigit×
CampAnàlisi de xarxesAnàlisi de xarxes
FamíliaMachine learningMachine learning
Any d'origen19941998
Autor originalWasserman, S. & Faust, K.Brin, S. & Page, L.
TipusStructural analysis of directed graphsIterative authority-scoring algorithm
Font seminalWasserman, 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 ↗
Àliesdirected SNA, digraph analysis, directed graph network analysis, asymmetric network analysisPageRank, PR, Google PageRank, directed link analysis
Relacionats55
ResumDirected 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.
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ScholarGateCompara mètodes: Directed Social Network Analysis · Directed PageRank. Recuperat el 2026-06-18 de https://scholargate.app/ca/compare