Emotion Evolution under Entrainment in Social Media
文献类型：会议论文
| 作者 | He, Saike1 ; Zheng, Xiaolong1; Zeng, Daniel1,2; Xu, Bo3; Tian, Guanhua3; Hao, Hongwei3
|
| 出版日期 | 2014-11-01 |
| 会议名称 | the 3rd National Conference of Social Media Processing (SMP 2014) |
| 会议日期 | 2014-11-1 ~ 2014-11-2 |
| 会议地点 | Beijing, China |
| 关键词 | Emotion Entrainment Transfer Entropy Social Media |
| 页码 | 155–163 |
| 通讯作者 | He, Saike |
| 英文摘要 | 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. |
| 收录类别 | EI |
| 会议录 | Social Media Processing
 |
| 会议录出版者 | Springer Berlin Heidelberg, 2014 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/10780]  |
| 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.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]. 见:the 3rd National Conference of Social Media Processing (SMP 2014). Beijing, China. 2014-11-1 ~ 2014-11-2. |
入库方式： OAI收割
来源：自动化研究所
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