Publication date
April 2013
DOIAbstract
<p>A. Degree (RPM). B. <i>k</i><sub>out</sub> (RPM). C. Embeddedness (RPM). D. Degree (HPM). E. <i>k</i><sub>out</sub> (HPM). F. Embeddedness (HPM).</p
<p>A. Degree (RPM). B. <i>k</i><sub>out</sub> (RPM). C. Embeddedness (RPM). D. Degree (HPM). E. <i>k</i><sub>out</sub> (HPM). F. Embeddedness (HPM).</p
Centrality is widely used to measure which nodes are important in a network. In recent decades, nume...
<p><b>Copyright information:</b></p><p>Taken from "Influence of degree correlations on network struc...
<p>(a) Total degree; (b) Average nearest-neighbor degree (ANND); (c) Total strength; (d) Average nea...
<p>A. Degree (RPM). B. <i>k</i><sub>out</sub> (RPM). C. Embeddedness (RPM). D. Degree (HPM). E. <i>k...
<p>A. Degree (RPM). B. <i>k</i><sub>out</sub> (RPM). C. Embeddedness (RPM). D. Degree (HPM). E. <i>k...
<p>A. Degree (RPM). B. <i>k</i><sub>out</sub> (RPM). C. Embeddedness (RPM). D. Degree (HPM). E. <i>k...
<p>Black lines indicate best linear fit to the data (dashed) and model (solid) networks. In panel <i...
<p>(A) Cumulative node degree distributions on a semi-log scale for the state of the same culture at...
<p>Plot A and D: Strength distribution of the semantic (A) and users’ interest network (D). The dist...
<p>The rank correlation coefficient, Kendall’s tau τ, is plotted by varying the infection probabilit...
<p>Here we focus on the ranks of the top- ( = 20 and 50) nodes with maximal out-degrees. We abbrevia...
<p>(A) Pearson degree correlation coefficient for the model network of size <i>N</i> = 10<sup>5</sup...
<p>The rank correlation coefficient, Kendall’s tau <i>τ</i>, is plotted by varying the recovery prob...
<p>The rank correlation coefficient, Kendall’s tau <i>τ</i>, is plotted by varying the number of com...
<p>Results of degree correlations as measured by four quantities corresponding to the average neares...
Centrality is widely used to measure which nodes are important in a network. In recent decades, nume...
<p><b>Copyright information:</b></p><p>Taken from "Influence of degree correlations on network struc...
<p>(a) Total degree; (b) Average nearest-neighbor degree (ANND); (c) Total strength; (d) Average nea...
<p>A. Degree (RPM). B. <i>k</i><sub>out</sub> (RPM). C. Embeddedness (RPM). D. Degree (HPM). E. <i>k...
<p>A. Degree (RPM). B. <i>k</i><sub>out</sub> (RPM). C. Embeddedness (RPM). D. Degree (HPM). E. <i>k...
<p>A. Degree (RPM). B. <i>k</i><sub>out</sub> (RPM). C. Embeddedness (RPM). D. Degree (HPM). E. <i>k...
<p>Black lines indicate best linear fit to the data (dashed) and model (solid) networks. In panel <i...
<p>(A) Cumulative node degree distributions on a semi-log scale for the state of the same culture at...
<p>Plot A and D: Strength distribution of the semantic (A) and users’ interest network (D). The dist...
<p>The rank correlation coefficient, Kendall’s tau τ, is plotted by varying the infection probabilit...
<p>Here we focus on the ranks of the top- ( = 20 and 50) nodes with maximal out-degrees. We abbrevia...
<p>(A) Pearson degree correlation coefficient for the model network of size <i>N</i> = 10<sup>5</sup...
<p>The rank correlation coefficient, Kendall’s tau <i>τ</i>, is plotted by varying the recovery prob...
<p>The rank correlation coefficient, Kendall’s tau <i>τ</i>, is plotted by varying the number of com...
<p>Results of degree correlations as measured by four quantities corresponding to the average neares...
Centrality is widely used to measure which nodes are important in a network. In recent decades, nume...
<p><b>Copyright information:</b></p><p>Taken from "Influence of degree correlations on network struc...
<p>(a) Total degree; (b) Average nearest-neighbor degree (ANND); (c) Total strength; (d) Average nea...
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