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

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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 publication10th International Conference, SocInfo 2018, St. Petersburg, Russia, September 25-28, 2018, Proceedings, Part I
EditorsOlessia Koltsova, Dmitry I. Ignatov, Steffen Staab
Number of pages15
ISBN (Electronic)9783030011291
ISBN (Print)9783030011284
Publication statusPublished - 2018
Event10th International Conference on Social Informatics, SocInfo'18 - Saint Petersburg, Russian Federation
Duration: 25 Sept 201828 Sept 2018
Conference number: 10

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


Conference10th International Conference on Social Informatics, SocInfo'18
Abbreviated titleSocInfo
Country/TerritoryRussian Federation
CitySaint Petersburg
Internet address


  • Network model
  • Opinion dynamics
  • Politician


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