A Multi-Granularity Backbone Network Extraction Method Based on the Topology Potential

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/complexity/volume-2018/8604132/figures/8604132.fig.001a.svgz" name="8604132.fig.001a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Smyth.net-286 nodes</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/complexity/volume-2018/8604132/figures/8604132.fig.001b.svgz" name="8604132.fig.001b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Smyth.net-71 nodes</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/complexity/volume-2018/8604132/figures/8604132.fig.001c.svgz" name="8604132.fig.001c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Smyth.net-17 nodes</td></tr></table>

<div>Multi-granularities of the Smyth publication network [<a href="/journals/complexity/2018/8604132/#B3">3</a>].</div>

Complexity

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Figure 1

Figure 1: A Multi-Granularity Backbone Network Extraction Method Based on the Topology Potential 