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  Sci. Lett. J. 2014, 3: 50  
  Research Article Open Access Article
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The dynamics of emotional chats with Bots: Experiment and agent-based simulations  
  Bosiljka Tadića, Vladimir Gligorijevića,†, Marcin Skowronc, Milovan Šuvakova,b  
a Department of Theoretical Physics; Jožef Stefan Institute; Box 3000 SI-1001 Ljubljana Slovenia
b Institute of Physics Belgrade, University of Belgrade, Pregrevica 118, 11080 Beograd, Serbia
c Austrian Research Institute for Artificial Intelligence, Freyung 6/6, 1010 Vienna, Austria
Current address: Department of Computing, Imperial College London, London, SW7 2AZ, UK

  Quantitative research of emotions in psychology and machine-learning methods for extracting emotion components from text messages open an avenue for physical science to explore the nature of stochastic processes in which emotions play a role, e.g., in human dynamics online. Here, we investigate the occurrence of collective behavior of users that is induced by chats with emotional Bots. The Bots, designed in an experimental environment, are considered. Furthermore, using the agent-based modeling approach, the activity of these experimental Bots is simulated within a social network of interacting emotional agents. Quantitative analysis of time series carrying emotional messages by agents suggests temporal correlations and persistent fluctuations with clustering according to emotion similarity. All data used in this study are fully anonymized.  
  Stochastic processes on networks; Interaction agent models; Emotion-correlation networks; Scaling in social systems  
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