Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/28096

Title: How can Trump win?
Authors: Kusmartseva, Anna F.
Zhang, Wu
Zhang, Xinyue
Kusmartsev, F.V.
Issue Date: 2017
Publisher: © The Authors. Published by Hyperion University
Citation: KUSMARTSEVA, A.F. ... et al., 2017. How can Trump win? Hyperion International Journal of Econophysics & New Economy, 10(2), pp. 45-63.
Abstract: In this paper, the McCulloch-Pitts model built on an artificial neuron is first introduced briefly, followed by a modified model – the coupled network model to describe social opinion network in period of the presidential election. To illustrate the new model, its formalism and analytical results on fixed points will be stated step by step. Then, we investigate the dependence on the ratio of the initial conditions so that we could find out more on relationship between current information and preference on final results. Finally, U.S. election campaign in 2016 will be examined comprehensively including support rates, possible preference, time series analysis, and period analysis. Besides mathematical research, we also take real-life activities into consideration. For example, Trump used Twitter to help his view spreading and take advantage of the underlying uncertainty to some extent.
Description: This is an Open Access Article. It is published by Hyperion University under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND). Full details of this licence are available at: http://creativecommons.org/licenses/by-nc-nd/4.0/
Version: Published
URI: https://dspace.lboro.ac.uk/2134/28096
Publisher Link: http://www.journal-hyperion.ro/journal-archive/category/21-volume-10-issue-2-2017
ISSN: 2069-3508
Appears in Collections:Published Articles (Physics)
Published Articles (Business School)

Files associated with this item:

File Description SizeFormat
A-Kusmartseva.pdfPublished version4.87 MBAdobe PDFView/Open

 

SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.