Fan Rui, Zhao Jichang, Chen Yan, Xu Ke
State Key Laboratory of Software Development Environment, Beihang University, Beijing, P. R. China.
School of Economics and Management, Beihang University, Beijing, P. R. China.
PLoS One. 2014 Oct 15;9(10):e110184. doi: 10.1371/journal.pone.0110184. eCollection 2014.
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.
近年来，在线社交媒体迅猛发展。在中国，类似推特的服务微博在不到五年的时间里吸引了超过5亿用户。通过在线社交关系相连，不同用户可能会共享相似的情感状态。我们发现，用户之间愤怒情绪的相关性显著高于喜悦情绪的相关性。而悲伤情绪的相关性则出奇地低。此外，如果一对用户之间有更多互动，他们之间的情感相关性就更强。并且朋友数量较多的用户与其社交圈的情感相关性更为显著。我们的研究结果可为在线社交网络中的情感影响和传播建模提供见解。
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