Mining Community-Level Influence in Microblogging Network: A Case Study on Sina Weibo

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Features</td><td class="align_left">Description</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">UserID</td><td class="align_left">User’ ID</td></tr><tr><td class="align_left">FansID</td><td class="align_left">Fans’ ID</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Data structure and description of the user fans.

Complexity

tab3

Table 3

Table 3: Mining Community-Level Influence in Microblogging Network: A Case Study on Sina Weibo 