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Identifying the most important nodes according to specific centrality indices is an important issue in network analysis. Node metrics based on the computation of functions of the adjacency matrix of… Click to show full abstract
Identifying the most important nodes according to specific centrality indices is an important issue in network analysis. Node metrics based on the computation of functions of the adjacency matrix of a network were defined by Estrada and his collaborators in various papers. This paper describes a MATLAB toolbox for computing such centrality indices using efficient numerical algorithms based on the connection between the Lanczos method and Gauss-type quadrature rules.
Keywords:
analysis complex;
complex networks;
analysis;
softnet package;
package analysis
Journal Title: Algorithms
Year Published: 2022
Link to full text (if available)
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Journal Title: Algorithms
Year Published: 2022
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!