Both the x-axis and the y-axis are on the logarithmic scale. The main takeaway is that nodes with smaller degrees constitute more dense clusters with other smaller degree nodes; however, nodes with high-degree have a strong connection with both nodes with high-degree and low-degree.</p
The clustering coefficient of an unweighted network has been extensively used to quantify how tightl...
<p>Correlation between disparity in the weight and weighted clustering coefficient.</p
<p>Explanation of the clustering coefficient and path length using a schematic whole-brain binary ne...
A Average weight as a function of endpoint degree, B Average weighted nearest neighbor’s degree as a...
<p>Plot shows average clustering coefficient of nodes per degree for full (left figure) and major (r...
(a) Panel A shows the bilogarithmic graph for the complementary cumulative distribution p(d) and deg...
<p>represents the global clustering coefficient; , the mean local clustering coefficient; r, degree ...
Nodes in real-world networks tend to cluster into densely connected groups, a property captured by t...
<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>, and are the clustering coefficient indices proposed by <a href="http://www.plosone.org/articl...
<p>While the network of seniors becomes sparser, there is a densification of the high school network...
<p>Although nodes 0 and 37 have the same out-degree, node 37 is of higher influence (subject to spre...
<p>When the filtering cutoff is set to -∞, all edges returned by the inference network are retained ...
<p>Clustering coefficient (A) and degree assortativity (B) values generated by the CMext and SpecNet...
The clustering coefficient of an unweighted network has been extensively used to quantify how tightl...
<p>Correlation between disparity in the weight and weighted clustering coefficient.</p
<p>Explanation of the clustering coefficient and path length using a schematic whole-brain binary ne...
A Average weight as a function of endpoint degree, B Average weighted nearest neighbor’s degree as a...
<p>Plot shows average clustering coefficient of nodes per degree for full (left figure) and major (r...
(a) Panel A shows the bilogarithmic graph for the complementary cumulative distribution p(d) and deg...
<p>represents the global clustering coefficient; , the mean local clustering coefficient; r, degree ...
Nodes in real-world networks tend to cluster into densely connected groups, a property captured by t...
<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>, and are the clustering coefficient indices proposed by <a href="http://www.plosone.org/articl...
<p>While the network of seniors becomes sparser, there is a densification of the high school network...
<p>Although nodes 0 and 37 have the same out-degree, node 37 is of higher influence (subject to spre...
<p>When the filtering cutoff is set to -∞, all edges returned by the inference network are retained ...
<p>Clustering coefficient (A) and degree assortativity (B) values generated by the CMext and SpecNet...
The clustering coefficient of an unweighted network has been extensively used to quantify how tightl...
<p>Correlation between disparity in the weight and weighted clustering coefficient.</p
<p>Explanation of the clustering coefficient and path length using a schematic whole-brain binary ne...