TY - JOUR
T1 - Analysis and Refinement of a Temporal-Causal Network Model for Absorption of Emotions
AU - Fernandes de Mello Araujo, Eric
AU - Treur, Jan
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - Absorption model
KW - Computational modeling
KW - Emotion contagion
KW - Temporal-causal network model
UR - http://www.scopus.com/inward/record.url?scp=84989336163&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84989336163&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-45243-2
DO - 10.1007/978-3-319-45243-2
M3 - Article
SN - 0302-9743
VL - 9875
SP - 27
EP - 39
JO - Lecture Notes in Computer Science
JF - Lecture Notes in Computer Science
ER -