<p>(A) The clustering coefficient and (B) the characteristic path length are shown as a function of cost thresholds and compared to the matched random networks. (C) The normalized clustering coefficient, the normalized characteristic path length, and (D) the small-worldness are shown as a function of cost thresholds. Note that the small-world regime of cost threshold adopted in this study was from 0.2 to 0.35. (E) The local efficiency and (F) the global efficiency are shown as a function of cost thresholds and compared to the matched random networks. Error bars indicate standard error in all subjects.</p
<p>Clustering coefficient (<b>A</b>) and characteristic path length (<b>B</b>) with respect to ANGLE...
<p>Mean path length, clustering coefficient and conservative small-worldness; averages (<i>n</i> = 5...
Research has explored how embeddedness in small-world networks influences individual and firm outcom...
<p>We may see the average clustering coefficient for MeSH global (GN) networks, compared to random E...
The figure shows the average clustering coefficient (C) and average path length (L) for networks wit...
<p>The areas under the curves (AUCs) of each global metric were used to provide threshold-independen...
<p>Clustering coefficient (<b>A</b>), shortest path length (<b>B</b>), global efficiency (<b>C</b>) ...
<p>(A) Absolute values of the clustering coefficient (blue circles, left axis) and mean path length...
<p>From Fig 3a to Fig 3e, each figure shows the plot of global topological patterns of distinct freq...
<p>λ = normalized shortest path length, γ = normalized clustering coefficient, E<sub>glob</sub> = gl...
<p>Global and local efficiency (<i>y</i>-axis) as a function of cost (<i>x</i>-axis) for a random gr...
<p>The functional brain networks showed higher local efficiency than that of the matched random netw...
<p>Global (E<sub>g</sub>) and local (E<sub>l</sub>) efficiencies are depicted as a function of wired...
<p>Dependence of the network metrics, averaged across subjects, on the parcellation: scaled (normali...
<p>The brain networks under each condition showed higher local efficiency than the matched random ne...
<p>Clustering coefficient (<b>A</b>) and characteristic path length (<b>B</b>) with respect to ANGLE...
<p>Mean path length, clustering coefficient and conservative small-worldness; averages (<i>n</i> = 5...
Research has explored how embeddedness in small-world networks influences individual and firm outcom...
<p>We may see the average clustering coefficient for MeSH global (GN) networks, compared to random E...
The figure shows the average clustering coefficient (C) and average path length (L) for networks wit...
<p>The areas under the curves (AUCs) of each global metric were used to provide threshold-independen...
<p>Clustering coefficient (<b>A</b>), shortest path length (<b>B</b>), global efficiency (<b>C</b>) ...
<p>(A) Absolute values of the clustering coefficient (blue circles, left axis) and mean path length...
<p>From Fig 3a to Fig 3e, each figure shows the plot of global topological patterns of distinct freq...
<p>λ = normalized shortest path length, γ = normalized clustering coefficient, E<sub>glob</sub> = gl...
<p>Global and local efficiency (<i>y</i>-axis) as a function of cost (<i>x</i>-axis) for a random gr...
<p>The functional brain networks showed higher local efficiency than that of the matched random netw...
<p>Global (E<sub>g</sub>) and local (E<sub>l</sub>) efficiencies are depicted as a function of wired...
<p>Dependence of the network metrics, averaged across subjects, on the parcellation: scaled (normali...
<p>The brain networks under each condition showed higher local efficiency than the matched random ne...
<p>Clustering coefficient (<b>A</b>) and characteristic path length (<b>B</b>) with respect to ANGLE...
<p>Mean path length, clustering coefficient and conservative small-worldness; averages (<i>n</i> = 5...
Research has explored how embeddedness in small-world networks influences individual and firm outcom...