Analyzing Interdisciplinary Research Using Co-Authorship Networks

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_center" colspan="2">Selected category: 40</td></tr><tr class="thead"><td class="align_left">Linked category</td><td class="align_center">Total connections</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">11, 18, 20, 40, 73, 101, 129, 271, 347</td><td class="align_center">0</td></tr><tr><td class="align_left">16, 129</td><td class="align_center">1</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Connected categories represented in the directed graph at the 1<sup>st</sup>-level co-authorship network.</div>

Complexity

tab4

Table 4

Table 4: Analyzing Interdisciplinary Research Using Co-Authorship Networks 