• DocumentCode
    116612
  • Title

    Characterizing emotion entrainment in social media

  • Author

    Saike He ; Xiaolong Zheng ; Xiuguo Bao ; Hongyuan Ma ; Zeng, Deze ; Bo Xu ; Changliang Li ; Hongwei Hao

  • Author_Institution
    State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China
  • fYear
    2014
  • fDate
    17-20 Aug. 2014
  • Firstpage
    642
  • Lastpage
    648
  • 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.
  • Keywords
    social networking (online); social sciences computing; synchronisation; emotion entrainment characterization; emotion flow; emotion states; entrainment dynamics; entrainment patterns; human rhythmic modality synchronization; online social media; positive emotion; power law distribution; social interactions; sociological theory; Blogs; Conferences; Entropy; Markov processes; Media; Mood; Social network services; emotion entrainment; social media; transfer entropy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Social Networks Analysis and Mining (ASONAM), 2014 IEEE/ACM International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/ASONAM.2014.6921653
  • Filename
    6921653