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Directed PageRank×Riktad gemenskapsdetektion×
ÄmnesområdeNätverksanalysNätverksanalys
FamiljMachine learningMachine learning
Ursprungsår19982008
UpphovspersonBrin, S. & Page, L.Leicht, E. A. & Newman, M. E. J.; Rosvall, M. & Bergstrom, C. T.
TypIterative authority-scoring algorithmGraph partitioning / modularity optimization
UrsprungskällaBrin, 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 ↗
AliasPageRank, PR, Google PageRank, directed link analysisdirected graph clustering, community detection in digraphs, directed modularity optimization, directed network partitioning
Närliggande56
SammanfattningDirected 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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ScholarGateJämför metoder: Directed PageRank · Directed Community Detection. Hämtad 2026-06-18 från https://scholargate.app/sv/compare