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Machine learningNetwork science

Dynamic PageRank

Dynamic PageRank huupanisha algorithmu ya awali ya PageRank kwa mitandao ambayo kingo zake hubeba alama za wakati, ikikabidhi alama za umuhimu zinazobadilika kulingana na wakati. Kwa kupunguza thamani ya viungo vya zamani na kusisitiza miunganisho ya hivi karibuni, inatambua nodi ambazo ni zenye ushawishi kwa nyakati maalum badala ya historia nzima ya mtandao, na kuifanya ifae kwa ajili ya kumbukumbu za wavuti, mito ya nukuu, milipuko ya mitandao ya kijamii, na kikoa chochote ambapo umuhimu wa kiungo unajali.

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Vyanzo

  1. Rozenshtein, P., & Gionis, A. (2016). Temporal PageRank. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Lecture Notes in Computer Science, 9853, 674–689. Springer. DOI: 10.1007/978-3-319-46227-1_42
  2. Berberich, K., Vazirgiannis, M., & Weikum, G. (2007). Time-aware authority ranking. Internet Mathematics, 3(4), 407–429. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Dynamic PageRank (Temporal Extension of the PageRank Algorithm). ScholarGate. https://scholargate.app/sw/network-analysis/dynamic-pagerank

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Imerejelewa na

ScholarGateDynamic PageRank (Dynamic PageRank (Temporal Extension of the PageRank Algorithm)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/network-analysis/dynamic-pagerank · Seti ya data: https://doi.org/10.5281/zenodo.20539026