Machine learningNetwork science

Weighted PageRank

Weighted PageRank extends the classic PageRank algorithm to networks where edges carry different strengths or frequencies, distributing importance proportionally to both incoming and outgoing edge weights rather than treating all links equally. This makes it substantially more informative than binary PageRank in any network where connection strength matters.

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Sources

  1. Xing, W., & Ghorbani, A. (2004). Weighted PageRank algorithm. Proceedings of the Second Annual Conference on Communication Networks and Services Research (CNSR '04), pp. 305–314. IEEE. DOI: 10.1109/DNSR.2004.1344743
  2. PageRank. Wikipedia. link

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Referenced by

ScholarGateWeighted PageRank (Weighted PageRank Algorithm). Retrieved 2026-06-04 from https://scholargate.app/en/network-analysis/weighted-pagerank