The Local Triangle Structure Centrality Method to Rank Nodes in Networks

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/complexity/volume-2019/9057194/figures/9057194.fig.005a.svgz" name="9057194.fig.005a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>The top 10 nodes of Football</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/complexity/volume-2019/9057194/figures/9057194.fig.005b.svgz" name="9057194.fig.005b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>The top 10% nodes of Football</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/complexity/volume-2019/9057194/figures/9057194.fig.005c.svgz" name="9057194.fig.005c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>The top 50% nodes of Football</td></tr><tr class="fig-image" id="d"><td><object data="https://static.hindawi.com/articles/complexity/volume-2019/9057194/figures/9057194.fig.005d.svgz" name="9057194.fig.005d" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(d) </b>The top 10 nodes of Email</td></tr><tr class="fig-image" id="e"><td><object data="https://static.hindawi.com/articles/complexity/volume-2019/9057194/figures/9057194.fig.005e.svgz" name="9057194.fig.005e" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(e) </b>The top 10% nodes of Email</td></tr><tr class="fig-image" id="f"><td><object data="https://static.hindawi.com/articles/complexity/volume-2019/9057194/figures/9057194.fig.005f.svgz" name="9057194.fig.005f" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(f) </b>The top 50% nodes of Email</td></tr><tr class="fig-image" id="g"><td><object data="https://static.hindawi.com/articles/complexity/volume-2019/9057194/figures/9057194.fig.005g.svgz" name="9057194.fig.005g" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(g) </b>The top 10 nodes of PowerGrid</td></tr><tr class="fig-image" id="h"><td><object data="https://static.hindawi.com/articles/complexity/volume-2019/9057194/figures/9057194.fig.005h.svgz" name="9057194.fig.005h" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(h) </b>The top 10% nodes of PowerGrid</td></tr><tr class="fig-image" id="i"><td><object data="https://static.hindawi.com/articles/complexity/volume-2019/9057194/figures/9057194.fig.005i.svgz" name="9057194.fig.005i" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(i) </b>The top 50% nodes of PowerGrid</td></tr></table>

<div>The ranking similarity <svg height="11.5564pt" id="M281" style="vertical-align:-2.26807pt" version="1.1" viewbox="-0.0498162 -9.28833 24.2659 11.5564" width="24.2659pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M584 650H137L131 622C214 614 217 612 200 521L125 127C109 41 101 35 23 28L17 0H288L294 28C201 35 193 42 209 128L242 309H348C440 309 442 300 443 226H471L510 422H482C452 354 449 348 357 348H251L295 575C302 609 304 615 338 615H426C502 615 517 604 526 581C534 560 536 524 537 492L565 494C574 554 583 631 584 650Z"></path></g><g transform="matrix(.013,0,0,-0.013,7.895,0)"><path d="M300 -147C201 -63 143 98 143 270S200 602 300 686L282 710C136 610 70 450 70 271V270C70 89 136 -72 282 -170L300 -147Z"></path></g><g transform="matrix(.013,0,0,-0.013,12.393,0)"><path d="M541 160L512 170C485 116 462 88 439 67C411 41 376 35 318 35C272 35 238 37 224 48C207 61 205 85 212 121L290 533C305 611 308 615 391 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Complexity

fig5

Figure 5

Figure 5: The Local Triangle Structure Centrality Method to Rank Nodes in Networks 