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Anger Is More Influential than Joy: Sentiment Correlation in Weibo

PLoS ONEPublished 15 October 2014Open access
Rui Fan, Jichang Zhao, Yan Chen, Ke Xu
Citations233
SJR quartileQ1
SJR score0.80
SNIP1.07
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TL;DR

It is found that the correlation of anger among users is significantly higher than that of joy, and there is a stronger sentiment correlation between a pair of users if they share more interactions.

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.

Keywords

Computer SciencePhysics and Astronomy