Harbinger: An Analyzing and Predicting System for Online Social Network Users' Behavior
Social and Information Networks
2013-12-10 v1 Physics and Society
Abstract
Online Social Network (OSN) is one of the hottest innovations in the past years, and the active users are more than a billion. For OSN, users' behavior is one of the important factors to study. This demonstration proposal presents Harbinger, an analyzing and predicting system for OSN users' behavior. In Harbinger, we focus on tweets' timestamps (when users post or share messages), visualize users' post behavior as well as message retweet number and build adjustable models to predict users' behavior. Predictions of users' behavior can be performed with the discovered behavior models and the results can be applied to many applications such as tweet crawler and advertisement.
Cite
@article{arxiv.1312.2096,
title = {Harbinger: An Analyzing and Predicting System for Online Social Network Users' Behavior},
author = {Rui Guo and Hongzhi Wang and Lucheng Zhong and Jianzhong Li and Hong Gao},
journal= {arXiv preprint arXiv:1312.2096},
year = {2013}
}
Comments
submitted to DASFAA demo