Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ASONAM.2014.6921653 | ASONAM |
Keywords | Field | DocType |
emotion states,entrainment patterns,emotion entrainment characterization,online social media,emotion flow,social interactions,human rhythmic modality synchronization,power law distribution,transfer entropy,social media,sociological theory,positive emotion,emotion entrainment,social networking (online),entrainment dynamics,social sciences computing,synchronisation,media,entropy,markov processes | Modalities,Social psychology,Transfer entropy,Pace,Computer science,Cognitive psychology,Entrainment (chronobiology),Artificial intelligence,Phenomenon,Social media,Facial expression,Rhythm,Machine learning | Conference |
ISBN | Citations | PageRank |
978-1-4799-5876-4 | 2 | 0.37 |
References | Authors | |
14 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Saike He | 1 | 58 | 12.71 |
| Xiaolong Zheng | 2 | 632 | 41.87 |
| Xiuguo Bao | 3 | 9 | 2.54 |
| hongyuan ma | 4 | 50 | 4.54 |
| Daniel Zeng | 5 | 2539 | 286.59 |
| Bo Xu | 6 | 112 | 20.58 |
| Changliang Li | 7 | 26 | 12.74 |
| Hongwei Hao | 8 | 9 | 3.96 |