AbstractWe will analyze several centrality measures by giving a general framework that includes the Bonacich centrality, PageRank centrality or in-degree vector, among others. We will get some local scale estimators for such global measures by giving some geometrical characterizations and some deviation results that help to quantify the error of approximating a spectral centrality by a local estimator
We define several novel centrality metrics: the high-order degree and combined degree of undirected ...
We show that eigenvector centrality exhibits localization phenomena on networks that can be easily p...
Recent developments in network theory have allowed for the study of the structure and function of th...
AbstractWe will analyze several centrality measures by giving a general framework that includes the ...
We consider a broad class of walk-based, parameterized node centrality measures for network analysis...
Complex networks are characterized by heterogeneous distributions of the degree of nodes, which prod...
Numerous centrality measures have been developed to quantify the importances of nodes in time-indepe...
Artículo de publicación ISIOne of the most important problems in complex network's theory is the loc...
We derive new, exact expressions for network centrality vectors associated with classical Watts–Stro...
We describe a complete theory for walk-based centrality indices in complex networks defined in terms...
In this paper some results about the controllability of spectral centrality in a complex network are...
We perform an extensive analysis of how sampling impacts the estimate of several relevant network me...
In this article we establish new results on the components of the principal eigenvector in an undire...
none3noTwo concepts of centrality have been defined in complex networks. The first considers the cen...
The calculation of centrality measures is common practice in the study of networks, as they attempt ...
We define several novel centrality metrics: the high-order degree and combined degree of undirected ...
We show that eigenvector centrality exhibits localization phenomena on networks that can be easily p...
Recent developments in network theory have allowed for the study of the structure and function of th...
AbstractWe will analyze several centrality measures by giving a general framework that includes the ...
We consider a broad class of walk-based, parameterized node centrality measures for network analysis...
Complex networks are characterized by heterogeneous distributions of the degree of nodes, which prod...
Numerous centrality measures have been developed to quantify the importances of nodes in time-indepe...
Artículo de publicación ISIOne of the most important problems in complex network's theory is the loc...
We derive new, exact expressions for network centrality vectors associated with classical Watts–Stro...
We describe a complete theory for walk-based centrality indices in complex networks defined in terms...
In this paper some results about the controllability of spectral centrality in a complex network are...
We perform an extensive analysis of how sampling impacts the estimate of several relevant network me...
In this article we establish new results on the components of the principal eigenvector in an undire...
none3noTwo concepts of centrality have been defined in complex networks. The first considers the cen...
The calculation of centrality measures is common practice in the study of networks, as they attempt ...
We define several novel centrality metrics: the high-order degree and combined degree of undirected ...
We show that eigenvector centrality exhibits localization phenomena on networks that can be easily p...
Recent developments in network theory have allowed for the study of the structure and function of th...