<p>Pink nodes indicate the connected component including outcome (mRS90). Green edges indicate positive correlations and red edges indicate negative correlations. Higher absolute correlation is indicated by brighter and thicker edges. Yellow nodes have greater PageRank ranking than strength ranking. Blue nodes have lower PageRank ranking than strength ranking. Weighting schemes lead to minimal changes in node measures.</p
PageRank (PR) is an algorithm originally developed by Google to evaluate the importance of web pages...
<p>Node sizes correspond to the degree of the node, node color correspond to the personalized PageRa...
<p>Thicker edges represent stronger absolute correlations. Left: true network of partial correlation...
<p>Comparison of distributions of various network quantities in the year . Authority (blue), Hub (re...
<p>Each curve corresponds to one node. The top hundred nodes with the largest out-components are sho...
<p>The importance of a node computed by global<i>-EIMI</i>, ego<i>-EIMI</i>, <i>HITS</i> and <i>Page...
This study proposes a novel Normalized Wide network Ranking algorithm (NWRank) that has the advantag...
<p>In the figure and . Note that the node with rank is the most important node of the network, and...
<p>The importance of a node computed by global<i>-EIMI</i>, ego<i>-EIMI</i>, <i>HITS</i> and <i>Page...
<p>(a) Three basic network centralities. The <i>Degree</i> is the number of node's neighbors; the sh...
(15 pages, 6 figures)Many complex systems can be described as multiplex networks in which the same n...
Data envelopment analysis (DEA) is known as a useful tool that produces many efficient decision-maki...
A indicates the largest network component; B indicates second largest network component. Networks ar...
<p>X axis represents the nodes and Y axis represents the outDegree score. Highlighted in orange are ...
<p>Node strength (weighted degree) is shown for the thresholded networks shown in <a href="http://ww...
PageRank (PR) is an algorithm originally developed by Google to evaluate the importance of web pages...
<p>Node sizes correspond to the degree of the node, node color correspond to the personalized PageRa...
<p>Thicker edges represent stronger absolute correlations. Left: true network of partial correlation...
<p>Comparison of distributions of various network quantities in the year . Authority (blue), Hub (re...
<p>Each curve corresponds to one node. The top hundred nodes with the largest out-components are sho...
<p>The importance of a node computed by global<i>-EIMI</i>, ego<i>-EIMI</i>, <i>HITS</i> and <i>Page...
This study proposes a novel Normalized Wide network Ranking algorithm (NWRank) that has the advantag...
<p>In the figure and . Note that the node with rank is the most important node of the network, and...
<p>The importance of a node computed by global<i>-EIMI</i>, ego<i>-EIMI</i>, <i>HITS</i> and <i>Page...
<p>(a) Three basic network centralities. The <i>Degree</i> is the number of node's neighbors; the sh...
(15 pages, 6 figures)Many complex systems can be described as multiplex networks in which the same n...
Data envelopment analysis (DEA) is known as a useful tool that produces many efficient decision-maki...
A indicates the largest network component; B indicates second largest network component. Networks ar...
<p>X axis represents the nodes and Y axis represents the outDegree score. Highlighted in orange are ...
<p>Node strength (weighted degree) is shown for the thresholded networks shown in <a href="http://ww...
PageRank (PR) is an algorithm originally developed by Google to evaluate the importance of web pages...
<p>Node sizes correspond to the degree of the node, node color correspond to the personalized PageRa...
<p>Thicker edges represent stronger absolute correlations. Left: true network of partial correlation...