An incredible number of centrality indices has been proposed to date (Todeschini & Consonni, 2009). Four of them, however, can be considered prototypical because they operationalize distinct concepts of centrality and together cover the bulk of analyses and empirical uses: degree, closeness, betweenness, and eigenvector centrality
Centrality indices assign values to the vertices of a graph such that vertices with higher values ar...
In the social sciences, networks are used to represent relationships between social actors, be they ...
We introduce a family of new centralities, the k-spectral centralities. k-spectral centrality is a m...
Centrality is in fact one of the fundamental notions in graph theory which has established its close...
The calculation of centrality measures is common practice in the study of networks, as they attempt ...
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00239%2F2020/PTCentrality on graphs aims at ...
In order to understand and represent the importance of nodes within networks better, most of the stu...
All measures of centrality in graphs seem to be correlated with degree, the sheer number of connecti...
Given a social network, which of its nodes are more central? This question has been asked many times...
Complex networks are characterized by heterogeneous distributions of the degree of nodes, which prod...
One of the more recent measures of centrality in social network analysis is the normalized harmonic ...
International audienceWe show that prominent centrality measures in network analysis are all based o...
The concept of centrality is often invoked in social network analysis, and diverse indices have been...
An important problem in network analysis is understanding how much nodes are important in order to \...
WOS: 000461317600020Centrality is a commonly used measure in network analysis to rank the relative i...
Centrality indices assign values to the vertices of a graph such that vertices with higher values ar...
In the social sciences, networks are used to represent relationships between social actors, be they ...
We introduce a family of new centralities, the k-spectral centralities. k-spectral centrality is a m...
Centrality is in fact one of the fundamental notions in graph theory which has established its close...
The calculation of centrality measures is common practice in the study of networks, as they attempt ...
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00239%2F2020/PTCentrality on graphs aims at ...
In order to understand and represent the importance of nodes within networks better, most of the stu...
All measures of centrality in graphs seem to be correlated with degree, the sheer number of connecti...
Given a social network, which of its nodes are more central? This question has been asked many times...
Complex networks are characterized by heterogeneous distributions of the degree of nodes, which prod...
One of the more recent measures of centrality in social network analysis is the normalized harmonic ...
International audienceWe show that prominent centrality measures in network analysis are all based o...
The concept of centrality is often invoked in social network analysis, and diverse indices have been...
An important problem in network analysis is understanding how much nodes are important in order to \...
WOS: 000461317600020Centrality is a commonly used measure in network analysis to rank the relative i...
Centrality indices assign values to the vertices of a graph such that vertices with higher values ar...
In the social sciences, networks are used to represent relationships between social actors, be they ...
We introduce a family of new centralities, the k-spectral centralities. k-spectral centrality is a m...
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