Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2012, Vol. 35 ›› Issue (4): 24-27.doi: 10.13190/jbupt.201204.24.zhangch

• Papers • Previous Articles     Next Articles

Information Predictions Based on Node Attributes of Social Media

ZHANG Chuang, JIANG Yang, WU Ming, XIAO Wen-jun, LI Tai   

  1. Pattern Recognition and Intelligent Systems Laboratory, Beijing University of Posts and Telecommunications
  • Received:2011-09-21 Revised:2012-02-21 Online:2012-08-28 Published:2012-07-08
  • Contact: Yang Jiang E-mail:13701167275@139.com

Abstract:

The features of social media, such as node influence are important in information prediction. A new model with attribute, number and views of nodes (ANV) is proposed for event prediction. Experiment is designed to predict the performance of new released movies using back propagation (BP) neural network algorithm with the data of Sina Microblog. Compared to other models, when considering the node attribution, the proposed has higher prediction accuracy.

Key words: social media, node attribute, prediction model, BP neural network, box office earnings forecast

CLC Number: