Jumping Risk Communities in the Energy Industry: An Empirical Analysis Based on Time-Varying Complex Networks

<table class="table-group" id="tab7"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Period</td><td class="align_center">Optimal number of communities</td><td class="align_center">Modular Q value</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">2016.10-2017.04</td><td class="align_center">10</td><td class="align_center">0.7846</td></tr><tr><td class="align_left">2017.04-2017.10</td><td class="align_center">9</td><td class="align_center">0.7698</td></tr><tr><td class="align_left">2017.10-2018.04</td><td class="align_center">8</td><td class="align_center">0.7802</td></tr><tr><td class="align_left">2018.04-2018.10</td><td class="align_center">7</td><td class="align_center">0.7740</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Complexity

tab7

Table 7

Table 7: Jumping Risk Communities in the Energy Industry: An Empirical Analysis Based on Time-Varying Complex Networks 