<p>Node strength (weighted degree) is shown for the thresholded networks shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0113838#pone-0113838-g002" target="_blank">Figure 2</a>. The node strength corresponds to the size and color of the node. Nodes marked by large dark green spheres have high strength, and small light green spheres represent lower strength.</p
<p>Node size is proportional to node degree (i.e., number of incoming and outgoing edges). Arrow thi...
Both the x-axis and the y-axis are on the logarithmic scale. The main takeaway is that nodes with sm...
<p>Note: <i>w</i>(<i>e<sub>j</sub></i>) refers to the weight of edge <i>e<sub>j</sub></i>, refers t...
<p>A) Clicking on a node in the network will show only isolated connections to that node. Thresholde...
<p>(I,II,III) In the 3-D network visualizations, edge color represents link weight, nodal color corr...
<p>Pink nodes indicate the connected component including outcome (mRS90). Green edges indicate posit...
<p>The nodes are located in the center of gravity of the tumors and bigger nodes have bigger network...
<p>(A): Distribution of task-specific hyperedge node degree on the brain. Here, the log of the total...
<p>The large circles denote the communities of the network, and the small circles denote the nodes. ...
<p>The degree of the central node in both (a) and (b) is 4 and the strength is 12, but the distribut...
<p>Because network topologies can be difficult to decipher in large networks, here we illustrate the...
The graph combines the single networks of the four time points ti inferred with a dynamic threshold ...
<p>Nodes of the unweighted network (TOM > 0.1) are visualized as circles and correlations between no...
<p>Each curve corresponds to one node. The top hundred nodes with the largest out-components are sho...
<p>Each brain region is represented by a sphere. Sphere size = mean connectivity degree; sphere tran...
<p>Node size is proportional to node degree (i.e., number of incoming and outgoing edges). Arrow thi...
Both the x-axis and the y-axis are on the logarithmic scale. The main takeaway is that nodes with sm...
<p>Note: <i>w</i>(<i>e<sub>j</sub></i>) refers to the weight of edge <i>e<sub>j</sub></i>, refers t...
<p>A) Clicking on a node in the network will show only isolated connections to that node. Thresholde...
<p>(I,II,III) In the 3-D network visualizations, edge color represents link weight, nodal color corr...
<p>Pink nodes indicate the connected component including outcome (mRS90). Green edges indicate posit...
<p>The nodes are located in the center of gravity of the tumors and bigger nodes have bigger network...
<p>(A): Distribution of task-specific hyperedge node degree on the brain. Here, the log of the total...
<p>The large circles denote the communities of the network, and the small circles denote the nodes. ...
<p>The degree of the central node in both (a) and (b) is 4 and the strength is 12, but the distribut...
<p>Because network topologies can be difficult to decipher in large networks, here we illustrate the...
The graph combines the single networks of the four time points ti inferred with a dynamic threshold ...
<p>Nodes of the unweighted network (TOM > 0.1) are visualized as circles and correlations between no...
<p>Each curve corresponds to one node. The top hundred nodes with the largest out-components are sho...
<p>Each brain region is represented by a sphere. Sphere size = mean connectivity degree; sphere tran...
<p>Node size is proportional to node degree (i.e., number of incoming and outgoing edges). Arrow thi...
Both the x-axis and the y-axis are on the logarithmic scale. The main takeaway is that nodes with sm...
<p>Note: <i>w</i>(<i>e<sub>j</sub></i>) refers to the weight of edge <i>e<sub>j</sub></i>, refers t...