Characterizing Emotion Entrainment in Social Media

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 互联网大数据与安全信息学研究中心

	Characterizing Emotion Entrainment in Social Media
	He, Saike1 ; Zheng, Xiaolong1 ; Bao, Xiuguo 2; Ma, Hongyuan 2; Zeng, Daniel1,3 ; Xu, Bo4 ; Li, Changliang4 ; Hao, Hongwei4
	2014-08-17
会议名称	The 2014 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM)
会议日期	2014-8-17 ~ 2014-8-20
会议地点	Beijing, China
关键词	Emotion Entrainment Transfer Entropy Social Media
通讯作者	Bao, Xiuguo
英文摘要	The sociological theory of entrainment accounts for the synchronization of human rhythmic modalities through social interactions: they coordinate in a variety of dimensions including linguistic styles, facial expressions, music pace, applause, and so on. Though highly relevant, emotion entrainment has received little attention to date. In addition, most previous studies on entrainment are done through small scale or controlled laboratory studies. In this paper, we investigate emotion entrainment in the context of online social media. To the best of our knowledge, this is the first time that emotion entrainment has been examined on a large scale, real world setting. For this purpose, we propose a framework that can model entrainment phenomenon and measure its effect. Our framework differentiates from previous research by its model-free essential and discerning in entrainment directions. These traits enable us to model entrainment dynamics under few assumptions, and distinguish emotion flow of entrainment. In our studies, we investigate entrainment patterns under different emotion states, i.e. positive, neutral and negative. We discover that entrainments under different emotions all follow a power law distribution. Besides, people are willing to entrain to others under positive emotion, and users with positive emotion are more likely to be entrained. By inspecting the interactions between entrainment and emotion, we reveal that entrainment has an effect of negotiating different emotion types toward an even distribution.
收录类别	EI
会议网址	http://www.asonam2014.org/
会议录	2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
语种	英语
内容类型	会议论文
源URL	[http://ir.ia.ac.cn/handle/173211/10779]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_互联网大数据与安全信息学研究中心
作者单位	1.The 2014 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining 2.CNCERT/CC 3.Department of Management Information Systems, University of Arizona 4.Institute of Automation, Chinese Academy of Sciences
推荐引用方式 GB/T 7714	He, Saike,Zheng, Xiaolong,Bao, Xiuguo,et al. Characterizing Emotion Entrainment in Social Media[C]. 见:The 2014 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM). Beijing, China. 2014-8-17 ~ 2014-8-20.http://www.asonam2014.org/.