A Multidimensional Nonnegative Matrix Factorization Model for Retweeting Behavior Prediction

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td align="left">File name</td><td align="left">Description</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td align="left">weibo_network.txt</td><td align="left">This file describes the SinaWeibo subnetwork at the very first timestamp, namely, static following network</td></tr><tr><td align="center" colspan="2"><hr/></td></tr><tr><td align="left">graph_170w_1month.txt</td><td align="left">This file describes the SinaWeibo subnetwork at every timestamp (one timestamp is one day) in one month from 2012.9.28 to 2012.10.29, namely, dynamic following network</td></tr><tr><td align="center" colspan="2"><hr/></td></tr><tr><td align="left">user_profile1.txt and user_profile2.txt</td><td align="left">These files describe users’ profile</td></tr><tr><td align="center" colspan="2"><hr/></td></tr><tr><td align="left">root_content.txt</td><td align="left">This file describes original tweet content</td></tr><tr><td align="center" colspan="2"><hr/></td></tr><tr><td align="left">uidlist.txt</td><td align="left">This file maps the original user ID to the new ID</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Descriptions of files in SinaWeibo dataset.

Mathematical Problems in Engineering

tab1

Table 1

Table 1: A Multidimensional Nonnegative Matrix Factorization Model for Retweeting Behavior Prediction 