Journal
PLOS ONE
Volume 9, Issue 10, Pages -Publisher
PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0110184
Keywords
-
Categories
Funding
- 863 Program [2012AA011005]
- SKLSDE [SKLSDE-2013ZX-06]
- Research Fund for the Doctoral Program of Higher Education of China [20111102110019]
- Fundamental Research Funds for the Central Universities [YWF-14-RSC-109, YWF-14-JGXY-001]
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available