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Weighted PageRank/Evidence
Method evidence record

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.

Sources recorded, not reviewed

Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Weighted PageRank Algorithm
Taxonomic method record · ml-model / network-analysis
  • 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
  • PageRank. Wikipedia. · URL
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

No curated claims yet

This view does not invent a claim assessment when the ledger has none.

Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketBetweenness Centralitymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketDegree Centralitymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketEigenvector Centralitymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSocial Network Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketWeighted Degree Centralitymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketWeighted Eigenvector Centralitymachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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