From Symphony to Sympathy: Network-Oriented Modeling of the Adaptive Dynamics of Sympathy States

Ilze A. Auzina, Suzanne Bardelmeijer, J. Treur

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Social network analysis commonly focuses on the relationships between two actors that could represent either individuals or populations. The present paper not only introduces a new concept of sympathy states to represent a sympathy between two actors, but also models how different sympathy states affect each other in an adaptive manner taking into account who expresses the sympathy and who receives it. The designed network model was designed with the Eurovision Song Contest in mind and takes into account external political events that affect the scores in this contest over the years. The properties of the model were analyzed using social network analysis. The model represents a first attempt in modeling sympathy states and their the adaptive dynamics modulated by external events by Network-Oriented Modeling based on adaptive temporal-causal networks.
LanguageEnglish
Title of host publicationProc. of the 18th International Conference on Artificial Intelligence and Soft Computing.
PublisherSpringer
Publication statusAccepted/In press - 15 Mar 2019

Publication series

NameLecture Notes in AI
PublisherSpringer Publishers

Fingerprint

network analysis
social network
modeling
song

Cite this

Auzina, I. A., Bardelmeijer, S., & Treur, J. (Accepted/In press). From Symphony to Sympathy: Network-Oriented Modeling of the Adaptive Dynamics of Sympathy States. In Proc. of the 18th International Conference on Artificial Intelligence and Soft Computing. (Lecture Notes in AI). Springer.
Auzina, Ilze A. ; Bardelmeijer, Suzanne ; Treur, J. / From Symphony to Sympathy: Network-Oriented Modeling of the Adaptive Dynamics of Sympathy States. Proc. of the 18th International Conference on Artificial Intelligence and Soft Computing. . Springer, 2019. (Lecture Notes in AI).
@inproceedings{cf4ddc6cf2c54dd59f933a59d04c0d1f,
title = "From Symphony to Sympathy: Network-Oriented Modeling of the Adaptive Dynamics of Sympathy States",
abstract = "Social network analysis commonly focuses on the relationships between two actors that could represent either individuals or populations. The present paper not only introduces a new concept of sympathy states to represent a sympathy between two actors, but also models how different sympathy states affect each other in an adaptive manner taking into account who expresses the sympathy and who receives it. The designed network model was designed with the Eurovision Song Contest in mind and takes into account external political events that affect the scores in this contest over the years. The properties of the model were analyzed using social network analysis. The model represents a first attempt in modeling sympathy states and their the adaptive dynamics modulated by external events by Network-Oriented Modeling based on adaptive temporal-causal networks.",
author = "Auzina, {Ilze A.} and Suzanne Bardelmeijer and J. Treur",
year = "2019",
month = "3",
day = "15",
language = "English",
series = "Lecture Notes in AI",
publisher = "Springer",
booktitle = "Proc. of the 18th International Conference on Artificial Intelligence and Soft Computing.",

}

Auzina, IA, Bardelmeijer, S & Treur, J 2019, From Symphony to Sympathy: Network-Oriented Modeling of the Adaptive Dynamics of Sympathy States. in Proc. of the 18th International Conference on Artificial Intelligence and Soft Computing. . Lecture Notes in AI, Springer.

From Symphony to Sympathy: Network-Oriented Modeling of the Adaptive Dynamics of Sympathy States. / Auzina, Ilze A. ; Bardelmeijer, Suzanne; Treur, J.

Proc. of the 18th International Conference on Artificial Intelligence and Soft Computing. . Springer, 2019. (Lecture Notes in AI).

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

TY - GEN

T1 - From Symphony to Sympathy: Network-Oriented Modeling of the Adaptive Dynamics of Sympathy States

AU - Auzina, Ilze A.

AU - Bardelmeijer, Suzanne

AU - Treur, J.

PY - 2019/3/15

Y1 - 2019/3/15

N2 - Social network analysis commonly focuses on the relationships between two actors that could represent either individuals or populations. The present paper not only introduces a new concept of sympathy states to represent a sympathy between two actors, but also models how different sympathy states affect each other in an adaptive manner taking into account who expresses the sympathy and who receives it. The designed network model was designed with the Eurovision Song Contest in mind and takes into account external political events that affect the scores in this contest over the years. The properties of the model were analyzed using social network analysis. The model represents a first attempt in modeling sympathy states and their the adaptive dynamics modulated by external events by Network-Oriented Modeling based on adaptive temporal-causal networks.

AB - Social network analysis commonly focuses on the relationships between two actors that could represent either individuals or populations. The present paper not only introduces a new concept of sympathy states to represent a sympathy between two actors, but also models how different sympathy states affect each other in an adaptive manner taking into account who expresses the sympathy and who receives it. The designed network model was designed with the Eurovision Song Contest in mind and takes into account external political events that affect the scores in this contest over the years. The properties of the model were analyzed using social network analysis. The model represents a first attempt in modeling sympathy states and their the adaptive dynamics modulated by external events by Network-Oriented Modeling based on adaptive temporal-causal networks.

M3 - Conference contribution

T3 - Lecture Notes in AI

BT - Proc. of the 18th International Conference on Artificial Intelligence and Soft Computing.

PB - Springer

ER -

Auzina IA, Bardelmeijer S, Treur J. From Symphony to Sympathy: Network-Oriented Modeling of the Adaptive Dynamics of Sympathy States. In Proc. of the 18th International Conference on Artificial Intelligence and Soft Computing. . Springer. 2019. (Lecture Notes in AI).