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

Thijs M.A.  Brouwers; John P.T. Onneweer; J. Treur

doi:10.1007/978-3-030-01129-1_7

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

Computer Science

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-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 language	English
Title of host publication	Social Informatics
Subtitle of host publication	10th International Conference, SocInfo 2018, St. Petersburg, Russia, September 25-28, 2018, Proceedings, Part I
Editors	Olessia Koltsova, Dmitry I. Ignatov, Steffen Staab
Publisher	Springer
Pages	102-116
Number of pages	15
Volume	1
ISBN (Electronic)	9783030011291
ISBN (Print)	9783030011284
DOIs	https://doi.org/10.1007/978-3-030-01129-1_7
Publication status	Published - 2018
Event	10th International Conference on Social Informatics, SocInfo'18 - Saint Petersburg, Russian Federation Duration: 25 Sept 2018 → 28 Sept 2018 Conference number: 10 https://socinfo2018.hse.ru/

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11185 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th International Conference on Social Informatics, SocInfo'18
Abbreviated title	SocInfo
Country/Territory	Russian Federation
City	Saint Petersburg
Period	25/09/18 → 28/09/18
Internet address	https://socinfo2018.hse.ru/

Keywords

Network model
Opinion dynamics
Politician

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-3-030-01129-1_7

Brouwers2018_Chapter_AnAgentBasedModellingApproachToFinal published version, 2.9 MBLicence: Article 25fa Dutch Copyright Act

https://www.researchgate.net/publication/326625343_An_Agent-Based_Modelling_Approach_to_Analyse_the_Public_Opinion_on_Politicians

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Brouwers, T. M. A., Onneweer, J. P. T., & Treur, J. (2018). An agent-based modelling approach to analyse the public opinion on politicians. In O. Koltsova, D. I. Ignatov, & S. Staab (Eds.), Social Informatics: 10th International Conference, SocInfo 2018, St. Petersburg, Russia, September 25-28, 2018, Proceedings, Part I (Vol. 1, pp. 102-116). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11185 LNCS). Springer. https://doi.org/10.1007/978-3-030-01129-1_7

Brouwers, Thijs M.A. ; Onneweer, John P.T. ; Treur, J. / An agent-based modelling approach to analyse the public opinion on politicians. Social Informatics: 10th International Conference, SocInfo 2018, St. Petersburg, Russia, September 25-28, 2018, Proceedings, Part I. editor / Olessia Koltsova ; Dmitry I. Ignatov ; Steffen Staab. Vol. 1 Springer, 2018. pp. 102-116 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Brouwers, TMA, Onneweer, JPT & Treur, J 2018, An agent-based modelling approach to analyse the public opinion on politicians. in O Koltsova, DI Ignatov & S Staab (eds), Social Informatics: 10th International Conference, SocInfo 2018, St. Petersburg, Russia, September 25-28, 2018, Proceedings, Part I. vol. 1, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11185 LNCS, Springer, pp. 102-116, 10th International Conference on Social Informatics, SocInfo'18, Saint Petersburg, Russian Federation, 25/09/18. https://doi.org/10.1007/978-3-030-01129-1_7

An agent-based modelling approach to analyse the public opinion on politicians. / Brouwers, Thijs M.A. ; Onneweer, John P.T.; Treur, J.
Social Informatics: 10th International Conference, SocInfo 2018, St. Petersburg, Russia, September 25-28, 2018, Proceedings, Part I. ed. / Olessia Koltsova; Dmitry I. Ignatov; Steffen Staab. Vol. 1 Springer, 2018. p. 102-116 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11185 LNCS).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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AU - Onneweer, John P.T.

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N2 - 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.

AB - 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.

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KW - Opinion dynamics

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Brouwers TMA, Onneweer JPT, Treur J. An agent-based modelling approach to analyse the public opinion on politicians. In Koltsova O, Ignatov DI, Staab S, editors, Social Informatics: 10th International Conference, SocInfo 2018, St. Petersburg, Russia, September 25-28, 2018, Proceedings, Part I. Vol. 1. Springer. 2018. p. 102-116. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2018 Sept 20. doi: 10.1007/978-3-030-01129-1_7

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

Abstract

Publication series

Conference

Keywords

UN SDGs

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