<p>Here we focus on the ranks of the top- ( = 20 and 50) nodes with maximal out-degrees. We abbreviate ClusterRank, LeaderRank, PageRank and Out-degree centrality by CR, LR, PR and DR, respectively.</p
The article of record as published may be found at https://doi.org/10.1007/s13278-018-0520-3Identify...
<p>A. Degree (RPM). B. <i>k</i><sub>out</sub> (RPM). C. Embeddedness (RPM). D. Degree (HPM). E. <i>k...
<p>The correlation coefficients of different pairs of centrality measures shows that the ranking of ...
<p>Here we focus on the ranks of the top- ( = 20 and 50) nodes with maximal out-degrees. We abbrevia...
Centrality is widely used to measure which nodes are important in a network. In recent decades, nume...
<p><i>R</i><sub>in</sub> and <i>R</i><sub>out</sub> represent the rankings by the in and out-degree....
<p>A. Degree (RPM). B. <i>k</i><sub>out</sub> (RPM). C. Embeddedness (RPM). D. Degree (HPM). E. <i>k...
Identifying influential nodes in very large-scale directed networks is a big challenge relevant to d...
<p>We set and . Each data point is obtained by averaging over 100 independent runs.</p
<p>The rank correlation coefficient, Kendall’s tau <i>τ</i>, is plotted by varying the number of com...
In recent decades, a number of centrality metrics describing network properties of nodes have been p...
<p>represents the global clustering coefficient; , the mean local clustering coefficient; r, degree ...
In recent decades, a number of centrality metrics describing network properties of nodes have been p...
We identify three different levels of correlation (pair-wise relative ordering, network-wide ranking...
<p>The non-overlapped nodes in the top-50 lists are initially infected. We set . Each data point is ...
The article of record as published may be found at https://doi.org/10.1007/s13278-018-0520-3Identify...
<p>A. Degree (RPM). B. <i>k</i><sub>out</sub> (RPM). C. Embeddedness (RPM). D. Degree (HPM). E. <i>k...
<p>The correlation coefficients of different pairs of centrality measures shows that the ranking of ...
<p>Here we focus on the ranks of the top- ( = 20 and 50) nodes with maximal out-degrees. We abbrevia...
Centrality is widely used to measure which nodes are important in a network. In recent decades, nume...
<p><i>R</i><sub>in</sub> and <i>R</i><sub>out</sub> represent the rankings by the in and out-degree....
<p>A. Degree (RPM). B. <i>k</i><sub>out</sub> (RPM). C. Embeddedness (RPM). D. Degree (HPM). E. <i>k...
Identifying influential nodes in very large-scale directed networks is a big challenge relevant to d...
<p>We set and . Each data point is obtained by averaging over 100 independent runs.</p
<p>The rank correlation coefficient, Kendall’s tau <i>τ</i>, is plotted by varying the number of com...
In recent decades, a number of centrality metrics describing network properties of nodes have been p...
<p>represents the global clustering coefficient; , the mean local clustering coefficient; r, degree ...
In recent decades, a number of centrality metrics describing network properties of nodes have been p...
We identify three different levels of correlation (pair-wise relative ordering, network-wide ranking...
<p>The non-overlapped nodes in the top-50 lists are initially infected. We set . Each data point is ...
The article of record as published may be found at https://doi.org/10.1007/s13278-018-0520-3Identify...
<p>A. Degree (RPM). B. <i>k</i><sub>out</sub> (RPM). C. Embeddedness (RPM). D. Degree (HPM). E. <i>k...
<p>The correlation coefficients of different pairs of centrality measures shows that the ranking of ...
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