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Catch Me if You Can: Using a Threshold Model to Simulate Support for Presidential Candidates in the Invisible Primary
Journal of Artificial Societies and Social Simulation ( IF 3.506 ) Pub Date : 2020-01-01 , DOI: 10.18564/jasss.4158
Elizabeth A. Stiles , Colin D. Swearingen , Linda Seiter , Brendan Foreman

The invisible primary is an important time inUnitedStatesPresidential primarypolitics as candidates gainmomentum for their campaigns before they compete formally in the first state caucus (Iowa) andprimaries (e.g. NewHampshire). This critical period has not been possible to observe, hence the name. However, by simulating networks of primary followers, we can explicate hypotheses for howmessages travel through networks to a ect 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 e ects of size of lead, an unwavering base of support, and information loss.

中文翻译:

如果可以,请联系我:使用阈值模型来模拟对隐形小学生中总统候选人的支持

无形的初选是美国总统初选政治中的重要时刻,因为候选人在竞选竞选活动之前获得了动力,然后才在第一个州预备队(爱荷华州)和初选(例如新罕布什尔州)正式竞争。这个关键时期无法观察,因此得名。但是,通过模拟主要关注者的网络,我们可以阐明有关消息如何通过网络传播到某个选民偏好的假设。为此,我们使用阈值模型来驱动我们的模拟网络分析测试,以测试公众对无形初选候选人的支持程度。我们为候选人分配选民门槛,并改变选民人数,对候选人的依恋程度和衰落率。我们还改变了社会图的结构和模型。该算法的结果显示了导线尺寸,坚定的支持基础以及信息丢失的效果。
更新日期:2020-01-01
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