Anger is more influential than joy: sentiment correlation in weibo

PLoS One. 2014 Oct 15;9(10):e110184. doi: 10.1371/journal.pone.0110184. eCollection 2014.

Abstract

Recent years have witnessed the tremendous growth of the online social media. In China, Weibo, a Twitter-like service, has attracted more than 500 million users in less than five years. Connected by online social ties, different users might share similar affective states. We find that the correlation of anger among users is significantly higher than that of joy. While the correlation of sadness is surprisingly low. Moreover, there is a stronger sentiment correlation between a pair of users if they share more interactions. And users with larger number of friends possess more significant sentiment correlation with their neighborhoods. Our findings could provide insights for modeling sentiment influence and propagation in online social networks.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Anger*
  • China
  • Emotions
  • Happiness*
  • Humans
  • Internet
  • Models, Theoretical
  • Social Media*

Grants and funding

This work was supported by 863 Program (grant no. 2012AA011005), SKLSDE (grant no. SKLSDE-2013ZX-06), and Research Fund for the Doctoral Program of Higher Education of China (grant no. 20111102110019). Jichang Zhao was partially supported by the Fundamental Research Funds for the Central Universities (grant nos. YWF-14-RSC-109 and YWF-14-JGXY-001). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.