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Disentangling positive and negative partisanship in social media interactions using a coevolving latent space network with attractors model.

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Title: Disentangling positive and negative partisanship in social media interactions using a coevolving latent space network with attractors model.
Authors: Zhu, Xiaojing1, Caliskan, Cantay2, Christenson, Dino P3, Spiliopoulos, Konstantinos1, Walker, Dylan4, Kolaczyk, Eric D5, eric.kolaczyk@mcgill.ca
Source: Journal of the Royal Statistical Society: Series A (Statistics in Society); Jul2023, Vol. 186 Issue 3, p463-480, 18p, 2 Charts, 7 Graphs
Database: Applied Science & Technology Source
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1093/jrsssa/qnad008
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 463
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      – TitleFull: Disentangling positive and negative partisanship in social media interactions using a coevolving latent space network with attractors model.
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            NameFull: Zhu, Xiaojing
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            NameFull: Caliskan, Cantay
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            NameFull: Christenson, Dino P
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            NameFull: Walker, Dylan
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            – D: 01
              M: 07
              Text: Jul2023
              Type: published
              Y: 2023
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            – TitleFull: Journal of the Royal Statistical Society: Series A (Statistics in Society)
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