<p>Plot shows average clustering coefficient of nodes per degree for full (left figure) and major (right figure) MeSH networks. The nodes with a smaller degree exhibit higher clustering than those with larger degree. The decay can be approximated by power-law dependency.</p
<p>Black lines indicate best linear fit to the data (dashed) and model (solid) networks. In panel <i...
<p>Clustering coefficient (A) and degree assortativity (B) values generated by the CMext and SpecNet...
<p>C denotes the average clustering coefficients and Dm denotes the network diameter.</p
<p>Average clustering coefficients (<i>c</i><sub><i>i</i></sub>) versus vertex degree (<i>k</i><sub>...
<p>We may see the average clustering coefficient for MeSH global (GN) networks, compared to random E...
<p>Red plots denote the local clustering coefficient of an individual node, the blue line connects t...
<p>Although nodes 0 and 37 have the same out-degree, node 37 is of higher influence (subject to spre...
Both the x-axis and the y-axis are on the logarithmic scale. The main takeaway is that nodes with sm...
<p>The distribution of the number of connections at each node, or degree, is plotted for each of the...
<p>Red plots denote the local clustering coefficient of an individual node, the blue line connects t...
<p>Red plots denote the local clustering coefficient of an individual node, the blue line connects t...
<p>Explanation of the clustering coefficient and path length using a schematic whole-brain binary ne...
<p>(A) Absolute values of the clustering coefficient (blue circles, left axis) and mean path length...
<p>When the filtering cutoff is set to -∞, all edges returned by the inference network are retained ...
<p>Average clustering coefficient for varying <i>N</i> and <i>MTE</i> = 10×<i>N</i>.</p
<p>Black lines indicate best linear fit to the data (dashed) and model (solid) networks. In panel <i...
<p>Clustering coefficient (A) and degree assortativity (B) values generated by the CMext and SpecNet...
<p>C denotes the average clustering coefficients and Dm denotes the network diameter.</p
<p>Average clustering coefficients (<i>c</i><sub><i>i</i></sub>) versus vertex degree (<i>k</i><sub>...
<p>We may see the average clustering coefficient for MeSH global (GN) networks, compared to random E...
<p>Red plots denote the local clustering coefficient of an individual node, the blue line connects t...
<p>Although nodes 0 and 37 have the same out-degree, node 37 is of higher influence (subject to spre...
Both the x-axis and the y-axis are on the logarithmic scale. The main takeaway is that nodes with sm...
<p>The distribution of the number of connections at each node, or degree, is plotted for each of the...
<p>Red plots denote the local clustering coefficient of an individual node, the blue line connects t...
<p>Red plots denote the local clustering coefficient of an individual node, the blue line connects t...
<p>Explanation of the clustering coefficient and path length using a schematic whole-brain binary ne...
<p>(A) Absolute values of the clustering coefficient (blue circles, left axis) and mean path length...
<p>When the filtering cutoff is set to -∞, all edges returned by the inference network are retained ...
<p>Average clustering coefficient for varying <i>N</i> and <i>MTE</i> = 10×<i>N</i>.</p
<p>Black lines indicate best linear fit to the data (dashed) and model (solid) networks. In panel <i...
<p>Clustering coefficient (A) and degree assortativity (B) values generated by the CMext and SpecNet...
<p>C denotes the average clustering coefficients and Dm denotes the network diameter.</p
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