Document Type
Article
Publication Date
2020
Publication Title
Journal of Artificial Societies and Social Simulation
Abstract
The invisible primary is an important time in United States Presidential primary politics as candidates gain momentum for their campaigns before they compete formally in the first state caucus (Iowa) and primaries (e.g. New Hampshire). This critical period has not been possible to observe, hence the name. However, by simulating networks of primary followers, we can explicate hypotheses for how messages travel through networks to affect voter preferences. To do so, we use a threshold model to drive our simulated network analysis testing spread of public support for candidates in invisible primaries. We assign voter thresholds for candidates and vary number of voters, attachment to candidates and decay. We also vary social graph structure and model. Results of the algorithm show effects of size of lead, an unwavering base of support, and information loss.
Recommended Citation
Stiles, Elizabeth A.; Swearingen, Colin D.; Seiter, Linda; and Foreman, Brendan, "Catch Me if You Can: Using a Threshold Model to Simulate Support for Presidential Candidates in the Invisible Primary" (2020). 2020 Faculty Bibliography. 2.
https://collected.jcu.edu/fac_bib_2020/2
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.