Abstract
An earlier proposed temporal-causal network model for mutual absorption of emotions aims to model emotion contagion in networks using characteristics such as traits of openness and expressiveness of the members of the network, and the strengths of the connections between them. The speed factors describing how fast emotional states change, were modeled based on these characteristics according to a fixed dependence relation. In this paper, particular implications of this choice are analyzed. Based on this analysis, a refinement of the model is proposed, offering alternative ways of modeling speed factors. This refinement is also analyzed and evaluated.
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Acknowledgements
E.F.M. Araujo’s stay at the VU Amsterdam was funded by the Brazilian Science without Borders Program, through a fellowship given by the Coordination for the Improvement of Higher Education Personnel – CAPES (reference 13538-13-6).
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Fernandes de Mello Araújo, E., Treur, J. (2016). Analysis and Refinement of a Temporal-Causal Network Model for Absorption of Emotions. In: Nguyen, NT., Iliadis, L., Manolopoulos, Y., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2016. Lecture Notes in Computer Science(), vol 9875. Springer, Cham. https://doi.org/10.1007/978-3-319-45243-2_3
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DOI: https://doi.org/10.1007/978-3-319-45243-2_3
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