A Network-Oriented Modeling Approach to Voting Behavior During the 2016 US Presidential Election

Linford Goedschalk; J. Treur; Roos Verwolf

doi:10.1007/978-3-319-61578-3_1

A Network-Oriented Modeling Approach to Voting Behavior During the 2016 US Presidential Election

Linford Goedschalk
, J. Treur
, Roos Verwolf

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

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Abstract

In this paper a network-oriented computational model is presented for voting intentions over time specifically for the race between Donald Trump and Hillary Clinton in the 2016 US presidential election. The focus was on the role of social and mass communication media and the statements made by Donald Trump or Hillary Clinton during their speeches. The aim was to investigate the influence on the voting intentions and the final voting. Sentiment analysis was performed to check whether the statements were high or low in language intensity. Simulation experiments using parameter tuning were compared to real world data (3 election polls until the 8th of November).

Original language	English
Title of host publication	Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017
Editors	Fernando De la Prieta , Zita Vale, Luis Antunes, Tiago Pinto, Andrew T. Campbell, Vicente Julián, Antonio J.R. Neves, María N. Moreno
Publisher	Springer
Pages	3-15
Number of pages	13
ISBN (Electronic)	9783319615783
ISBN (Print)	9783319615776
DOIs	https://doi.org/10.1007/978-3-319-61578-3_1
Publication status	Published - 2018

Publication series

Name	Advances in Intelligent Systems and Computing
Publisher	Springer
Volume	619

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SDG 16 Peace, Justice and Strong Institutions

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10.1007/978-3-319-61578-3_1

A Network-Oriented Modeling Approach to Voting Behavior During the 2016 US Presidential ElectionFinal published version, 862 KBLicence: Article 25fa Dutch Copyright Act

https://www.researchgate.net/publication/315496598_A_Network-Oriented_Modeling_Approach_to_Voting_Behavior_During_the_2016_US_Presidential_Election

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Goedschalk, L., Treur, J., & Verwolf, R. (2018). A Network-Oriented Modeling Approach to Voting Behavior During the 2016 US Presidential Election. In F. De la Prieta , Z. Vale, L. Antunes, T. Pinto, A. T. Campbell, V. Julián, A. J. R. Neves, & M. N. Moreno (Eds.), Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017 (pp. 3-15). (Advances in Intelligent Systems and Computing; Vol. 619). Springer. https://doi.org/10.1007/978-3-319-61578-3_1

Goedschalk, Linford ; Treur, J. ; Verwolf, Roos. / A Network-Oriented Modeling Approach to Voting Behavior During the 2016 US Presidential Election. Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017. editor / Fernando De la Prieta ; Zita Vale ; Luis Antunes ; Tiago Pinto ; Andrew T. Campbell ; Vicente Julián ; Antonio J.R. Neves ; María N. Moreno. Springer, 2018. pp. 3-15 (Advances in Intelligent Systems and Computing).

@inproceedings{8100274c598447f19049cfb47a23128f,

title = "A Network-Oriented Modeling Approach to Voting Behavior During the 2016 US Presidential Election",

abstract = "In this paper a network-oriented computational model is presented for voting intentions over time specifically for the race between Donald Trump and Hillary Clinton in the 2016 US presidential election. The focus was on the role of social and mass communication media and the statements made by Donald Trump or Hillary Clinton during their speeches. The aim was to investigate the influence on the voting intentions and the final voting. Sentiment analysis was performed to check whether the statements were high or low in language intensity. Simulation experiments using parameter tuning were compared to real world data (3 election polls until the 8th of November).",

author = "Linford Goedschalk and J. Treur and Roos Verwolf",

year = "2018",

doi = "10.1007/978-3-319-61578-3\_1",

language = "English",

isbn = "9783319615776",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "3--15",

editor = "\{De la Prieta \}, Fernando and Zita Vale and Luis Antunes and Tiago Pinto and Campbell, \{Andrew T.\} and Vicente Juli{\'a}n and Neves, \{Antonio J.R.\} and Moreno, \{Mar{\'i}a N.\}",

booktitle = "Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017",

}

Goedschalk, L, Treur, J & Verwolf, R 2018, A Network-Oriented Modeling Approach to Voting Behavior During the 2016 US Presidential Election. in F De la Prieta , Z Vale, L Antunes, T Pinto, AT Campbell, V Julián, AJR Neves & MN Moreno (eds), Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017. Advances in Intelligent Systems and Computing, vol. 619, Springer, pp. 3-15. https://doi.org/10.1007/978-3-319-61578-3_1

A Network-Oriented Modeling Approach to Voting Behavior During the 2016 US Presidential Election. / Goedschalk, Linford; Treur, J.; Verwolf, Roos.
Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017. ed. / Fernando De la Prieta ; Zita Vale; Luis Antunes; Tiago Pinto; Andrew T. Campbell; Vicente Julián; Antonio J.R. Neves; María N. Moreno. Springer, 2018. p. 3-15 (Advances in Intelligent Systems and Computing; Vol. 619).

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

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N2 - In this paper a network-oriented computational model is presented for voting intentions over time specifically for the race between Donald Trump and Hillary Clinton in the 2016 US presidential election. The focus was on the role of social and mass communication media and the statements made by Donald Trump or Hillary Clinton during their speeches. The aim was to investigate the influence on the voting intentions and the final voting. Sentiment analysis was performed to check whether the statements were high or low in language intensity. Simulation experiments using parameter tuning were compared to real world data (3 election polls until the 8th of November).

AB - In this paper a network-oriented computational model is presented for voting intentions over time specifically for the race between Donald Trump and Hillary Clinton in the 2016 US presidential election. The focus was on the role of social and mass communication media and the statements made by Donald Trump or Hillary Clinton during their speeches. The aim was to investigate the influence on the voting intentions and the final voting. Sentiment analysis was performed to check whether the statements were high or low in language intensity. Simulation experiments using parameter tuning were compared to real world data (3 election polls until the 8th of November).

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DO - 10.1007/978-3-319-61578-3_1

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SN - 9783319615776

T3 - Advances in Intelligent Systems and Computing

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BT - Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017

A2 - De la Prieta , Fernando

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A2 - Antunes, Luis

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Goedschalk L, Treur J, Verwolf R. A Network-Oriented Modeling Approach to Voting Behavior During the 2016 US Presidential Election. In De la Prieta F, Vale Z, Antunes L, Pinto T, Campbell AT, Julián V, Neves AJR, Moreno MN, editors, Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017. Springer. 2018. p. 3-15. (Advances in Intelligent Systems and Computing). Epub 2017 Jul 16. doi: 10.1007/978-3-319-61578-3_1

A Network-Oriented Modeling Approach to Voting Behavior During the 2016 US Presidential Election

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