Information diffusion among users on Facebook fan pages over time: Its impact on movie box office

Author

Wan-Hsin Tang ; Mi-Yen Yeh ; Lee, Anthony J. T.

Author_Institution

Dept. of Inf. Manage., Nat. Taiwan Univ., Taipei, Taiwan

fYear

2014

Firstpage

340

Lastpage

346

Abstract

In this work, we investigate the impact of social influence of a Facebook fan page on movie box offices. We aim to enhance the accuracy of predicting the box office by leveraging the social influence among users in the fan page. We develop the Global Influence Model to compute the user influence and predict the engagements between the fan page and users. In addition, we propose the Linear Box Office Revenue Prediction Model to bridge the gap between Facebook fan pages and the box offices by utilizing the social influence and some statistics obtained from Facebook fan pages. By considering the social influence, the accuracy of forecasting box offices for movies can be improved significantly.

Keywords

information dissemination; social networking (online); time series; Facebook fan page user; global influence model; information diffusion; linear box office revenue prediction model; movie box office; time series prediction; Accuracy; Adaptation models; Facebook; Integrated circuit modeling; Motion pictures; Predictive models; Vectors; information diffusion; social network; time-series prediction;

fLanguage

English

Publisher

ieee

Conference_Titel

Data Science and Advanced Analytics (DSAA), 2014 International Conference on

Type

conf

DOI

10.1109/DSAA.2014.7058094

Filename

7058094