Emotion Evolution under Entrainment in Social Media
He, Saike1; Zheng, Xiaolong1; Zeng, Daniel1,2; Xu, Bo3; Tian, Guanhua3; Hao, Hongwei3
2014-11-01
会议名称the 3rd National Conference of Social Media Processing (SMP 2014)
会议录名称Social Media Processing
页码155–163
会议日期2014-11-1 ~ 2014-11-2
会议地点Beijing, China
出版者Springer Berlin Heidelberg, 2014
摘要Emotion entrainment refers to the phenomenon that people gradually synchronize to other's emotion states through social interactions. Previous studies mainly focus on conducting laboratory experiments or small-scale offline surveys. Large-scale empirical studies on real-world emotion entrainment among individuals are still to be explored. Especially, determinants that influence this process are not clear. Also, how emotion evolves among people in a large scale population is still unknown. In this study, we attempt to conduct a large-scale empirical analysis on emotion entrainment based on online social media information. For this purpose, we develop a model-free framework to measure entrainment strength among people. Experimental results indicate that interaction partners with strong reciprocal entrainment tend to assume similar emotion states, and negative emotion is more empathetic in an intimate relationship. Especially, when the relationship is balanced, users are more emotionally similar to each other.
关键词Emotion Entrainment Transfer Entropy Social Media
收录类别EI
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/10780
专题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
通讯作者He, Saike
作者单位1.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
推荐引用方式
GB/T 7714
He, Saike,Zheng, Xiaolong,Zeng, Daniel,et al. Emotion Evolution under Entrainment in Social Media[C]:Springer Berlin Heidelberg, 2014,2014:155–163.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
4890155.pdf(282KB)会议论文 开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[He, Saike]的文章
[Zheng, Xiaolong]的文章
[Zeng, Daniel]的文章
百度学术
百度学术中相似的文章
[He, Saike]的文章
[Zheng, Xiaolong]的文章
[Zeng, Daniel]的文章
必应学术
必应学术中相似的文章
[He, Saike]的文章
[Zheng, Xiaolong]的文章
[Zeng, Daniel]的文章
相关权益政策
暂无数据
收藏/分享
文件名: 4890155.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。