An adaptive temporal-causal network for representing changing opinions on music releases

Sarah van Gerwen, Aram van Meurs, Jan Treur*

*Corresponding author for this work

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

Abstract

In this paper a temporal-causal network model is introduced representing a shift of opinion about an artist after an album release. Simulation experiments are presented to illustrate the model. Furthermore, mathematical analysis has been done to verify the simulated model and validation by means of an empirical data set and parameter tuning has been addressed as well.

Original languageEnglish
Title of host publicationDistributed Computing and Artificial Intelligence, 15th International Conference [2018]
EditorsAntonio Fernandez-Caballero, Fernando De La Prieta, Sigeru Omatu
PublisherSpringer Verlag
Pages357-367
Number of pages11
ISBN (Electronic)9783319946498
ISBN (Print)9783319946481
DOIs
Publication statusPublished - 2019
Event15th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2018 - Toledo, Spain
Duration: 20 Jun 201822 Jun 2018

Publication series

NameAdvances in Intelligent Systems and Computing
Volume800
ISSN (Print)2194-5357

Conference

Conference15th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2018
CountrySpain
CityToledo
Period20/06/1822/06/18

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