3.5 Eigenvector Centrality

This lesson explains Eigenvector Centrality, a measure of influence that considers the importance of a node's connections. The measure reflects that a node is more central if it is linked to other well-connected nodes and shows how this is calculated from the network's adjacency matrix.

Publication Details

Journal
DuEPublico (University of Duisburg-Essen)
Published
2025-10-08
DOI
https://doi.org/10.17185/duepublico/84458
Primary Topic
Complex Network Analysis Techniques
Type
article
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article

3.5 Eigenvector Centrality

DuEPublico (University of Duisburg-Essen)
Complex Network Analysis Techniques
article

3.5 Eigenvector Centrality

article en

Abstract

This lesson explains Eigenvector Centrality, a measure of influence that considers the importance of a node's connections. The measure reflects that a node is more central if it is linked to other well-connected nodes and shows how this is calculated from the network's adjacency matrix.

DuEPublico (University of Duisburg-Essen)
Openalex Percentile: Top 46%
Complex Network Analysis Techniques
DOIOpen Access PDFOpenAlex
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3.5 Eigenvector Centrality · DuEPublico (University of Duisburg-Essen) (2025) | TGRS Research Map | TGRS