Exploring Entrainment Patterns of Human Emotion in Social Media
文献类型：期刊论文
| 作者 | He, Saike1 ; Zheng, Xiaolong1; Zeng, Daniel1,2; Luo, Chuan1; Zhang, Zhu1
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| 刊名 | PLOS ONE
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| 出版日期 | 2016-03-08 |
| 卷号 | 11期号:3页码:e0150630 |
| 通讯作者 | Zheng, Xiaolong |
| 英文摘要 | Emotion entrainment, which is generally defined as the synchronous convergence of human emotions, performs many important social functions. However, what the specific mechanisms of emotion entrainment are beyond in-person interactions, and how human emotions evolve under different entrainment patterns in large-scale social communities, are still unknown. In this paper, we aim to examine the massive emotion entrainment patterns and understand the underlying mechanisms in the context of social media. As modeling emotion dynamics on a large scale is often challenging, we elaborate a pragmatic framework to characterize and quantify the entrainment phenomenon. By applying this framework on the datasets from two large-scale social media platforms, we find that the emotions of online users entrain through social networks. We further uncover that online users often form their relations via dual entrainment, while maintain it through single entrainment. Remarkably, the emotions of online users are more convergent in nonreciprocal entrainment. Building on these findings, we develop an entrainment augmented model for emotion prediction. Experimental results suggest that entrainment patterns inform emotion proximity in dyads, and encoding their associations promotes emotion prediction. This work can further help us to understand the underlying dynamic process of large-scale online interactions and make more reasonable decisions regarding emergency situations, epidemic diseases, and political campaigns in cyberspace. |
| WOS标题词 | Science & Technology |
| 类目[WOS] | Multidisciplinary Sciences |
| 研究领域[WOS] | Science & Technology - Other Topics |
| 收录类别 | SCI ; SSCI |
| 原文出处 | http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0150630 |
| 语种 | 英语 |
| WOS记录号 | WOS:000371991300037 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/10772]  |
| 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.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Univ Arizona, Dept Management Informat Syst, Tucson, AZ 85721 USA |
| 推荐引用方式 GB/T 7714 | He, Saike,Zheng, Xiaolong,Zeng, Daniel,et al. Exploring Entrainment Patterns of Human Emotion in Social Media[J]. PLOS ONE,2016,11(3):e0150630. |
| APA | He, Saike,Zheng, Xiaolong,Zeng, Daniel,Luo, Chuan,&Zhang, Zhu.(2016).Exploring Entrainment Patterns of Human Emotion in Social Media.PLOS ONE,11(3),e0150630. |
| MLA | He, Saike,et al."Exploring Entrainment Patterns of Human Emotion in Social Media".PLOS ONE 11.3(2016):e0150630. |
入库方式： OAI收割
来源：自动化研究所
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