Analysis and Refinement of a Temporal-Causal Network Model for Absorption of Emotions

Research output: Contribution to JournalArticleAcademicpeer-review

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.
Original languageEnglish
Pages (from-to)27-39
Number of pages13
JournalLecture Notes in Computer Science
Volume9875
DOIs
Publication statusPublished - 2016

Keywords

  • Absorption model
  • Computational modeling
  • Emotion contagion
  • Temporal-causal network model

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