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Eigenvector centrality

In graph theory, eigenvector centrality (also called eigencentrality or prestige score) is a measure of the influence of a node in a connected network. Relative scores are assigned to all nodes in the network based on the concept that connections to high-scoring nodes contribute more to the score of the node in question than equal connections to…

Applications, Using the adjacency matrix to find eigenvector centrality & Normalized eigenvector centrality scoring

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Applications

6 related topics

Using the adjacency matrix to find eigenvector centrality

8 related topics

Normalized eigenvector centrality scoring

2 related topics

Overview

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Overview

Using the adjacency matrix to find eigenvector centrality

Normalized eigenvector centrality scoring

Applications

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Eigenvector centrality

Nodes27
Edges26
Triples9
Avg. degree1.93
Density0.074074
Components1

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Eigenvector centrality

Top relations

has application · 4
Eigenvector centrality → Edmund Landau, Eigenvector, If, The
related to Normalized eigenvector centrality scoring · 4
Eigenvector centrality → Google's PageRank, PageRank, The, The PageRank
is a · 1
Eigenvector centrality → unique measure satisfying certain natural axioms for a ranking system.In neuroscience

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Important terminology

eigenvector centrality node score displaystyle network many nodes matrix measure influence relative pagerank normalized also defined prestige high connected scores

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Eigenvector centralityis aunique measure satisfying certain natural axioms for a ranking system.In neuroscience0.90text
Eigenvector centralityhas applicationEigenvector0.60section
Eigenvector centralityhas applicationIf0.60section
Eigenvector centralityhas applicationThe0.60section
Eigenvector centralityhas applicationEdmund Landau0.60section
Eigenvector centralityrelated to Normalized eigenvector centrality scoringGoogle's PageRank0.60section
Eigenvector centralityrelated to Normalized eigenvector centrality scoringThe PageRank0.60section
Eigenvector centralityrelated to Normalized eigenvector centrality scoringPageRank0.60section
Eigenvector centralityrelated to Normalized eigenvector centrality scoringThe0.60section

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