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2018 | OriginalPaper | Chapter

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

Authors : Linford Goedschalk, Jan Treur, Roos Verwolf

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

Publisher: Springer International Publishing

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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).

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next chapter Understanding Homophily and More-Becomes-More Through Adaptive Temporal-Causal Network Models
Appendix
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Footnotes
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Metadata
Title
A Network-Oriented Modeling Approach to Voting Behavior During the 2016 US Presidential Election
Authors
Linford Goedschalk
Jan Treur
Roos Verwolf
Copyright Year
2018
Book
Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017

Print ISBN: 978-3-319-61577-6

Electronic ISBN: 978-3-319-61578-3

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-61578-3_1

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