Computational Modeling of Hierarchically Polarized Groups by Structured Matrix Factorization

The paper extends earlier work on modeling hierarchically polarized groups on social media. An algorithm is described that 1) detects points of agreement and disagreement between groups, and 2) divides them hierarchically to represent nested patterns of agreement and disagreement given a structural...

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Detalles Bibliográficos
Autores principales: Sun, Dachun, Yang, Chaoqi, Li, Jinyang, Wang, Ruijie, Yao, Shuochao, Shao, Huajie, Liu, Dongxin, Liu, Shengzhong, Wang, Tianshi, Abdelzaher, Tarek F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Big Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8729255/
https://www.ncbi.nlm.nih.gov/pubmed/35005618
http://dx.doi.org/10.3389/fdata.2021.729881

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8729255/
https://www.ncbi.nlm.nih.gov/pubmed/35005618
http://dx.doi.org/10.3389/fdata.2021.729881

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