This paper generalizes Freeman's geodesic centrality measures for betweenness on undirected graphs to the more general directed case. Four steps are taken. The point centrality measure is first generalized for directed graphs. Second, a unique maximally centralized graph is defined for directed graphs, holding constant the numbers of points with reciprocatable (incoming and outgoing) versus only unreciprocatable (outgoing only or incoming only) arcs, and focusing the measure on the maximally central arrangement of arcs within these constraints. Alternatively, one may simply normalize on the number of arcs. This enables the third step of defining the relative betweenness centralities of a point, independent of the number of points. This norm...
In network analysis, it is useful to identify important vertices in a network. Based on the varying ...
Abstract New betweenness centralities of nodes in a directed network are proposed based on the idea ...
International audienceWe show that prominent centrality measures in network analysis are all based o...
This paper generalizes Freeman\u27s geodesic centrality measures for betweenness on undirected graph...
A measure of the centrality of a vertex of a graph is the portion of shortest paths crossing through...
The betweenness centrality of a vertex of a graph is the portion of shortest paths between all pair...
WOS: 000461317600020Centrality is a commonly used measure in network analysis to rank the relative i...
A new measure of centrality, C,, is introduced. It is based on the concept of network flows. While c...
A new measure of centrality, CF, is introduced. It is based on the concept of network flows. While c...
Betweenness is a good measure of the centrality of a vertex in a graph modeling social or communicat...
Betweenness centrality is a network centrality measure based on the amount ofshortest paths passing ...
The calculation of centrality measures is common practice in the study of networks, as they attempt ...
Graphs (networks) are an important tool to model data in different domains.Real-world graphs are usu...
Abstract—Centrality measures, erstwhile popular amongst the sociologists and psychologists, has seen...
The first book devoted exclusively to quantitative graph theory, Quantitative Graph Theory: Mathemat...
In network analysis, it is useful to identify important vertices in a network. Based on the varying ...
Abstract New betweenness centralities of nodes in a directed network are proposed based on the idea ...
International audienceWe show that prominent centrality measures in network analysis are all based o...
This paper generalizes Freeman\u27s geodesic centrality measures for betweenness on undirected graph...
A measure of the centrality of a vertex of a graph is the portion of shortest paths crossing through...
The betweenness centrality of a vertex of a graph is the portion of shortest paths between all pair...
WOS: 000461317600020Centrality is a commonly used measure in network analysis to rank the relative i...
A new measure of centrality, C,, is introduced. It is based on the concept of network flows. While c...
A new measure of centrality, CF, is introduced. It is based on the concept of network flows. While c...
Betweenness is a good measure of the centrality of a vertex in a graph modeling social or communicat...
Betweenness centrality is a network centrality measure based on the amount ofshortest paths passing ...
The calculation of centrality measures is common practice in the study of networks, as they attempt ...
Graphs (networks) are an important tool to model data in different domains.Real-world graphs are usu...
Abstract—Centrality measures, erstwhile popular amongst the sociologists and psychologists, has seen...
The first book devoted exclusively to quantitative graph theory, Quantitative Graph Theory: Mathemat...
In network analysis, it is useful to identify important vertices in a network. Based on the varying ...
Abstract New betweenness centralities of nodes in a directed network are proposed based on the idea ...
International audienceWe show that prominent centrality measures in network analysis are all based o...