This work analyzes some aspects of two problems in graph theory: centrality measures that allow us to detect the most important group of nodes in a network and the clustering of a graph in coherent sub-communities. We propose two new centrality measures that are the results of a new point of view and we suggest a new algorithm to detect communities. We apply all the results to analyze drama, in particular five Shakespeare's plays
In this paper, we develop a novel framework for defining radial measures of centrality in complex ne...
Over the last few years, the problem of determining the most important nodes in a graph has gained a...
In this thesis we investigate two topics in data mining on graphs; in the first part we investigate...
Networks are popular models for representing interactions between entities in systems, such as in so...
The role of an actor in a social network is identified through a set of measures called centrality. ...
There is an age-old question in all branches of network analysis. What makes an actor in a network i...
The concept of centrality is often invoked in social network analysis, and diverse indices have been...
Centrality measures derived from character networks can be used to detect the main characters in a p...
The concept of centrality is often invoked in social network analysis, and diverse indices have been...
In order to understand and represent the importance of nodes within networks better, most of the stu...
Studies in Computational Intelligence, Vol 424 entitled: Complex NetworksTechnical Session 1: Networ...
The calculation of centrality measures is common practice in the study of networks, as they attempt ...
International audienceThe betweenness centrality is one of the basic concepts in the analysis of the...
The centrality of an edge in a graph is proposed to be the degree of sensitivity of a graph distance...
Real-world complex systems can be modeled as homogeneous or heterogeneous graphs composed by nodes c...
In this paper, we develop a novel framework for defining radial measures of centrality in complex ne...
Over the last few years, the problem of determining the most important nodes in a graph has gained a...
In this thesis we investigate two topics in data mining on graphs; in the first part we investigate...
Networks are popular models for representing interactions between entities in systems, such as in so...
The role of an actor in a social network is identified through a set of measures called centrality. ...
There is an age-old question in all branches of network analysis. What makes an actor in a network i...
The concept of centrality is often invoked in social network analysis, and diverse indices have been...
Centrality measures derived from character networks can be used to detect the main characters in a p...
The concept of centrality is often invoked in social network analysis, and diverse indices have been...
In order to understand and represent the importance of nodes within networks better, most of the stu...
Studies in Computational Intelligence, Vol 424 entitled: Complex NetworksTechnical Session 1: Networ...
The calculation of centrality measures is common practice in the study of networks, as they attempt ...
International audienceThe betweenness centrality is one of the basic concepts in the analysis of the...
The centrality of an edge in a graph is proposed to be the degree of sensitivity of a graph distance...
Real-world complex systems can be modeled as homogeneous or heterogeneous graphs composed by nodes c...
In this paper, we develop a novel framework for defining radial measures of centrality in complex ne...
Over the last few years, the problem of determining the most important nodes in a graph has gained a...
In this thesis we investigate two topics in data mining on graphs; in the first part we investigate...