3.5 Eigenvector Centrality
Year: 2025
Type: article
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.
Authors: Weber, Jan, Löffler-Patterson, Caspar
Language: English
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7103162917
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