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PageRank الموجه×اكتشاف المجتمعات الموجهة×
المجالتحليل الشبكاتتحليل الشبكات
العائلةMachine learningMachine learning
سنة النشأة19982008
صاحب الطريقةBrin, S. & Page, L.Leicht, E. A. & Newman, M. E. J.; Rosvall, M. & Bergstrom, C. T.
النوعIterative authority-scoring algorithmGraph partitioning / modularity optimization
المصدر التأسيسيBrin, 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 ↗Leicht, E. A. & Newman, M. E. J. (2008). Community structure in directed networks. Physical Review Letters, 100(11), 118703. DOI ↗
الأسماء البديلةPageRank, PR, Google PageRank, directed link analysisdirected graph clustering, community detection in digraphs, directed modularity optimization, directed network partitioning
ذات صلة56
الملخصDirected 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 community detection identifies densely interconnected groups of nodes in a directed network, accounting for the asymmetry of edges (e.g., A follows B does not imply B follows A). Adapting modularity or flow-based criteria to directed graphs reveals clusters that undirected methods systematically miss, making it essential for citation networks, follower graphs, and biological regulatory pathways.
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ScholarGateقارن الطرق: Directed PageRank · Directed Community Detection. استُرجع بتاريخ 2026-06-18 من https://scholargate.app/ar/compare