(a) shows the result for different subgraph sizes given the number of subgraphs m = 10; (b) shows the result for different number of subgraphs given the subgraph size k = 10. The different curves represent the correlations with degree centrality, betweenness centrality and closeness centrality.</p
Complex networks represent an extensive variety of systems in nature and human interactions. Network...
In recent decades, a number of centrality metrics describing network properties of nodes have been p...
Abstract. In our paper we compare two centrality measures of networks, between-ness and Linerank. Be...
We seek to identify one or more computationally light-weight centrality metrics that have a high cor...
The role of an actor in a social network is identified through a set of measures called centrality. ...
In this paper, we seek to find a computationally light centrality metric that could serve as an alte...
<p>The correlation coefficients of different pairs of centrality measures shows that the ranking of ...
Centrality is widely used to measure which nodes are important in a network. In recent decades, nume...
The roles of different nodes within a network are often understood through centrality analysis, whic...
The roles of different nodes within a network are often understood through centrality analysis, whic...
Social Network Analysis (SNA) is used to study the exchange of resources among individuals, groups, ...
In this paper, we empirically investigate correlations among four centrality measures, originated fr...
<p>Subfigure A denotes the correlations of degree centrality reliability for weighted networks. Subf...
<p>In the upper side of the figure the correlation between the node’s risk (the mean number of infec...
An important problem in network analysis is understanding how much nodes are important in order to “...
Complex networks represent an extensive variety of systems in nature and human interactions. Network...
In recent decades, a number of centrality metrics describing network properties of nodes have been p...
Abstract. In our paper we compare two centrality measures of networks, between-ness and Linerank. Be...
We seek to identify one or more computationally light-weight centrality metrics that have a high cor...
The role of an actor in a social network is identified through a set of measures called centrality. ...
In this paper, we seek to find a computationally light centrality metric that could serve as an alte...
<p>The correlation coefficients of different pairs of centrality measures shows that the ranking of ...
Centrality is widely used to measure which nodes are important in a network. In recent decades, nume...
The roles of different nodes within a network are often understood through centrality analysis, whic...
The roles of different nodes within a network are often understood through centrality analysis, whic...
Social Network Analysis (SNA) is used to study the exchange of resources among individuals, groups, ...
In this paper, we empirically investigate correlations among four centrality measures, originated fr...
<p>Subfigure A denotes the correlations of degree centrality reliability for weighted networks. Subf...
<p>In the upper side of the figure the correlation between the node’s risk (the mean number of infec...
An important problem in network analysis is understanding how much nodes are important in order to “...
Complex networks represent an extensive variety of systems in nature and human interactions. Network...
In recent decades, a number of centrality metrics describing network properties of nodes have been p...
Abstract. In our paper we compare two centrality measures of networks, between-ness and Linerank. Be...