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

<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_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">AttenID</td><td class="align_left">User-attended 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 attention.

Complexity

tab4

Table 4

Table 4: Mining Community-Level Influence in Microblogging Network: A Case Study on Sina Weibo 