Harbinger: An Analyzing and Predicting System for Online Social Network Users’ Behavior
Online Social Network (OSN) is one of the hottest innovations in the past years. 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 established behavior models and the results can be applied to many applications such as tweet crawlers and advertisements.
KeywordsSocial Network User Behavior Message Timestamp
Unable to display preview. Download preview PDF.
- 5.Benevenuto, F., Rodrigues, T., Cha, M., Almeida, V.: Characterizing user behavior in online social networks. In: Proceedings of the 9th ACM SIGCOMM Conference on Internet Measurement Conference, pp. 49–62. ACM (2009)Google Scholar