Wepropose an axiomatic approach to characterize centrality measures for which the centrality of an agentis recursively related to the centralities of the agents she is connected to. This includes the Katz–Bonacichand the eigenvector centrality. The core of our argument hinges on the power of the consistency axiom,which relates the properties of the measure for a given network to its properties for a reduced problem.In our case, the reduced problem only keeps track of local and parsimonious information. Our axiomaticcharacterization highlights the conceptual similarities among those measures
One of the fundamental research challenges in network science is the centrality analysis, i.e., iden...
We consider a broad class of walk-based, parameterized node centrality measures for network analysis...
We introduce delta centralities, a new class of measures of structural centrality for networks. In p...
We propose an axiomatic approach to characterize centrality measures for which the centrality of an ...
The centrality of an agent in a network has been shown to be crucial in explaining different behavio...
The relative importance of nodes in a network can be quantified via functions of the adjacency matr...
The calculation of centrality measures is common practice in the study of networks, as they attempt ...
We derive new, exact expressions for network centrality vectors associated with classical Watts–Stro...
AbstractWe will analyze several centrality measures by giving a general framework that includes the ...
none3noTwo concepts of centrality have been defined in complex networks. The first considers the cen...
Given a social network, which of its nodes are more central? This question has been asked many times...
Centrality is most commonly thought of as a measure in which we assign a ranking of the vertices fro...
International audienceWe show that prominent centrality measures in network analysis are all based o...
This paper reports on a simulation study of social networks that investigated how network topology r...
Feedback centralities are one of the key classes of centrality measures. They assess the importance ...
One of the fundamental research challenges in network science is the centrality analysis, i.e., iden...
We consider a broad class of walk-based, parameterized node centrality measures for network analysis...
We introduce delta centralities, a new class of measures of structural centrality for networks. In p...
We propose an axiomatic approach to characterize centrality measures for which the centrality of an ...
The centrality of an agent in a network has been shown to be crucial in explaining different behavio...
The relative importance of nodes in a network can be quantified via functions of the adjacency matr...
The calculation of centrality measures is common practice in the study of networks, as they attempt ...
We derive new, exact expressions for network centrality vectors associated with classical Watts–Stro...
AbstractWe will analyze several centrality measures by giving a general framework that includes the ...
none3noTwo concepts of centrality have been defined in complex networks. The first considers the cen...
Given a social network, which of its nodes are more central? This question has been asked many times...
Centrality is most commonly thought of as a measure in which we assign a ranking of the vertices fro...
International audienceWe show that prominent centrality measures in network analysis are all based o...
This paper reports on a simulation study of social networks that investigated how network topology r...
Feedback centralities are one of the key classes of centrality measures. They assess the importance ...
One of the fundamental research challenges in network science is the centrality analysis, i.e., iden...
We consider a broad class of walk-based, parameterized node centrality measures for network analysis...
We introduce delta centralities, a new class of measures of structural centrality for networks. In p...