Add to ORKGThe analysis of network’s centralities has a high-level significance for many real-world applications. The variety of game and graph theoretical approaches has a paramount purpose to formalize a relative importance of nodes in networks. In this paper we represent an algorithm for the centrality calculation in the domain of weighted networks. The given algorithm calculates network centralities for weighted graphs based on the proposed procedure of edges’ splitting. The approach is tested and illustrated based on different types of network topologies
(Previously submitted to ICDM on June 18, 2012) Who is more important in a network? Who controls the...
Ties often have a strength naturally associated with them that differentiate them from each other. T...
Ties often have a strength naturally associated with them that differentiate them from each other. T...
The analysis of network’s centralities has a high-level significance for many real-world applicatio...
The analysis of network’s centralities has a high-level significance for many real-world application...
Within network analysis, various measures of node centrality have been developed. In this paper, for...
Network-analysis literature is rich in node-centrality measures that quantify the centrality of a no...
Betweenness centrality of vertices is essential in the analysis of social and information networks, ...
The Shapley Value is arguably the most important normative solution concept in coalitional games. On...
The centrality of an edge in a graph is proposed to be the degree of sensitivity of a graph distance...
Game-theoretic solution concepts—most notably the Shapley value, arguably, the most important normat...
Solution concepts from cooperative game theory, such as the Shapley value or the Banzhaf index, have...
In network analysis, it is useful to identify important vertices in a network. Based on the varying ...
In network analysis, it is useful to identify important vertices in a network. Based on the varying ...
(Previously submitted to ICDM on June 18, 2012) Who is more important in a network? Who controls the...
(Previously submitted to ICDM on June 18, 2012) Who is more important in a network? Who controls the...
Ties often have a strength naturally associated with them that differentiate them from each other. T...
Ties often have a strength naturally associated with them that differentiate them from each other. T...
The analysis of network’s centralities has a high-level significance for many real-world applicatio...
The analysis of network’s centralities has a high-level significance for many real-world application...
Within network analysis, various measures of node centrality have been developed. In this paper, for...
Network-analysis literature is rich in node-centrality measures that quantify the centrality of a no...
Betweenness centrality of vertices is essential in the analysis of social and information networks, ...
The Shapley Value is arguably the most important normative solution concept in coalitional games. On...
The centrality of an edge in a graph is proposed to be the degree of sensitivity of a graph distance...
Game-theoretic solution concepts—most notably the Shapley value, arguably, the most important normat...
Solution concepts from cooperative game theory, such as the Shapley value or the Banzhaf index, have...
In network analysis, it is useful to identify important vertices in a network. Based on the varying ...
In network analysis, it is useful to identify important vertices in a network. Based on the varying ...
(Previously submitted to ICDM on June 18, 2012) Who is more important in a network? Who controls the...
(Previously submitted to ICDM on June 18, 2012) Who is more important in a network? Who controls the...
Ties often have a strength naturally associated with them that differentiate them from each other. T...
Ties often have a strength naturally associated with them that differentiate them from each other. T...