Modeling Emotion Entrainment of Online Users in Emergency Events
He, Saike1; Zheng, Xiaolong1; Zeng, Daniel1,2; Xu, Bo3; Li, Changliang3; Tian, Guanhua3; Hao, Hongwei3
2015-05-27
Conference NameIEEE International Conference on Intelligence and Security Informatics (IEEE ISI 2015)
Source Publication2015 IEEE International Conference on Intelligence and Security Informatics (ISI)
Conference Date2015-5-27 ~ 2015-5-29
Conference PlaceBaltimore, MD, USA
AbstractEmotion entrainment accounts for the rhythmic convergence of human emotions through social interactions. This phenomenon abounds in various disciplines, i.e. effervescency in soccer games, anger proliferation in violence incidents, or anxiety diffusion in disasters. Although emotion entrainment is highly relevant to the quality of human daily life, the principles underpinning this phenomenon is still unclear. Previous dynamic models try to explain entrainment phenomenon by assuming symmetrical coupling among identical individuals. Yet this assumption clearly does not hold in real-world human interactions. As such, we propose an alternative model that captures asymmetric relationships. In depicting the coupling mechanism, the effect of social influence is also encoded. Experimental results on two emergent social events suggest that the proposed model characterizes emotion trends with high accuracy. Also, we explain the emotion dynamics by analyzing the reconstructed entrainment matrix. Our work may present practical implications for those who want to guide or regulate the emotion evolution in emergency events discussed online.
KeywordEmotion Entrainment Dynamic Model Social Influence
DOI10.1109/ISI.2015.7165961
URL查看原文
Indexed ByEI
Language英语
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Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/10777
Collection复杂系统管理与控制国家重点实验室_互联网大数据与信息安全
Corresponding AuthorHe, Saike
Affiliation1.State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences
2.Department of Management Information Systems, University of Arizona
3.Institute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
He, Saike,Zheng, Xiaolong,Zeng, Daniel,et al. Modeling Emotion Entrainment of Online Users in Emergency Events[C],2015.
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