Centrality is most commonly thought of as a measure in which we assign a ranking of the vertices from most important to least important. The importance of a vertex is relative to the underlying process being carried out on the network. This is why there is a diverse amount of centrality measures addressing many such processes. We propose a measure that assigns a ranking in which interference is a property of the underlying process being carried out on the network
In complex network analysis it is essential to investigate the alteration of network structures that...
The concept of centrality is often invoked in social network analysis, and diverse indices have been...
We introduce delta centralities, a new class of measures of structural centrality for networks. In p...
Centrality is most commonly thought of as a measure in which we assign a ranking of the vertices fro...
An important problem in network analysis is understanding how much nodes are important in order to \...
The calculation of centrality measures is common practice in the study of networks, as they attempt ...
International audienceWe show that prominent centrality measures in network analysis are all based o...
Centrality is in fact one of the fundamental notions in graph theory which has established its close...
In network analysis, it is useful to identify important vertices in a network. Based on the varying ...
A new measure of centrality, CF, is introduced. It is based on the concept of network flows. While c...
A new measure of centrality, C,, is introduced. It is based on the concept of network flows. While c...
Complex networks are characterized by heterogeneous distributions of the degree of nodes, which prod...
The centrality of an edge in a graph is proposed to be the degree of sensitivity of a graph distance...
Many scholars have tried to address the identification of critical nodes in complex networks from di...
A complex network can be modeled as a graph representing the "who knows who" relationship. In the co...
In complex network analysis it is essential to investigate the alteration of network structures that...
The concept of centrality is often invoked in social network analysis, and diverse indices have been...
We introduce delta centralities, a new class of measures of structural centrality for networks. In p...
Centrality is most commonly thought of as a measure in which we assign a ranking of the vertices fro...
An important problem in network analysis is understanding how much nodes are important in order to \...
The calculation of centrality measures is common practice in the study of networks, as they attempt ...
International audienceWe show that prominent centrality measures in network analysis are all based o...
Centrality is in fact one of the fundamental notions in graph theory which has established its close...
In network analysis, it is useful to identify important vertices in a network. Based on the varying ...
A new measure of centrality, CF, is introduced. It is based on the concept of network flows. While c...
A new measure of centrality, C,, is introduced. It is based on the concept of network flows. While c...
Complex networks are characterized by heterogeneous distributions of the degree of nodes, which prod...
The centrality of an edge in a graph is proposed to be the degree of sensitivity of a graph distance...
Many scholars have tried to address the identification of critical nodes in complex networks from di...
A complex network can be modeled as a graph representing the "who knows who" relationship. In the co...
In complex network analysis it is essential to investigate the alteration of network structures that...
The concept of centrality is often invoked in social network analysis, and diverse indices have been...
We introduce delta centralities, a new class of measures of structural centrality for networks. In p...