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Eigenvector Centrality/Evidence
Method evidence record

Eigenvector Centrality

Eigenvector centrality, introduced by Bonacich in 1972, measures a node's influence by considering not just how many neighbors it has, but how influential those neighbors are. A node scores highly if it is connected to other high-scoring nodes, making it a recursive, globally-aware measure of structural importance in a network.

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Source record

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

Eigenvector Centrality (Bonacich Power Centrality)
Taxonomic method record · ml-model / network-analysis
  • Bonacich, P. (1972). Factoring and weighting approaches to status scores and clique identification. Journal of Mathematical Sociology, 2(1), 113–120. · DOI 10.1080/0022250X.1972.9989806
  • Eigenvector centrality. Wikipedia. · URL
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Claims persisted in the evidence ledger, each with its own assessment.

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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 bucketCloseness Centralitymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketDegree Centralitymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketModularity Analysismachine-suggested · Relational suggestion, not evidence.Same method familyPageRankmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSocial Network Analysismachine-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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