An agent-based modelling approach to analyse the public opinion on politicians

Thijs M.A. Brouwers, John P.T. Onneweer, J. Treur*

*Corresponding author for this work

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

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Abstract

A politician’s popularity can be measured by polls or by measuring the amount of times a politician is mentioned on the Internet in a positive or negative manner. This paper introduces an approach to an agent-based computational model to model a politician’s popularity within a population that participates on the Internet over time. A particle swarm optimization algorithm is used for parameter tuning to identify the characteristics of all agents based on the analysis of public opinions on a politician found on the Internet. The properties of the network are verified by applying a social network analysis. A mathematical analysis is used to get more in depth understanding on the model and to verify its correctness.

Original languageEnglish
Title of host publicationSocial Informatics
Subtitle of host publicationProceedings of the 10th International Conference on Social Informatics, SocInfo'18
EditorsOlessia Koltsova, Dmitry I. Ignatov, Steffen Staab
PublisherSpringer
Pages102-116
Number of pages15
Volume1
ISBN (Electronic)9783030011291
ISBN (Print)9783030011284
DOIs
Publication statusPublished - 2018
Event10th International Conference on Social Informatics, SocInfo'18 - Saint Petersburg, Russian Federation
Duration: 25 Sep 201828 Sep 2018
Conference number: 10
https://socinfo2018.hse.ru/

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11185 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Social Informatics, SocInfo'18
Abbreviated titleSocInfo
CountryRussian Federation
CitySaint Petersburg
Period25/09/1828/09/18
Internet address

Keywords

  • Network model
  • Opinion dynamics
  • Politician

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