Exponential Random Graph Models for Dynamic Signed Networks: An Application to International Relations

Fritz, C., Mehrl, M. orcid.org/0000-0002-5825-9256, Thurner, P.W. et al. (1 more author) (2025) Exponential Random Graph Models for Dynamic Signed Networks: An Application to International Relations. Political Analysis. ISSN 1047-1987

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Item Type: Article
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© The Author(s), 2025. This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0), which permits non-commercial re-use, distribution, and reproduction in any medium, provided that no alterations are made and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use and/or adaptation of the article.

Keywords: exponential random graph models; signed networks; structural balance theory; International relations; inferential network analysis
Dates:
  • Published (online): 17 January 2025
  • Accepted: 7 November 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Education, Social Sciences and Law (Leeds) > School of Politics & International Studies (POLIS) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 11 Nov 2024 15:12
Last Modified: 30 Jan 2025 09:19
Published Version: https://www.cambridge.org/core/journals/political-...
Status: Published online
Publisher: Cambridge University Press
Identification Number: 10.1017/pan.2024.21
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