Unit Disk Graph-Based Node Similarity Index for Complex Network Analysis

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/complexity/volume-2019/6871874/figures/6871874.fig.007a.svgz" name="6871874.fig.007a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Erdos-Renyi model</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/complexity/volume-2019/6871874/figures/6871874.fig.007b.svgz" name="6871874.fig.007b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Configuration model</td></tr></table>

<div>Comparison of the (DEG, EVC, BWC, CLC)-based NSI values for the real-world networks and the random networks generated using the Erdos-Renyi model and the Configuration model.</div>

Complexity

fig7

Figure 7

Figure 7: Unit Disk Graph-Based Node Similarity Index for Complex Network Analysis 