Characterizing ideologically homogeneous clusters during the 2020 election
收藏DataCite Commons2024-10-05 更新2024-11-05 收录
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https://figshare.com/articles/dataset/Characterizing_ideologically_homogeneous_clusters_during_the_2020_election/27145998
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资源简介：
Datasets to accompany the paper "Identifying and characterizing highly polarized groups on Twitter and Parler during the 2020 election" by the U-LINK SaTC team at the University of MiamiEach datafile is a collection of 10 days' worth of social media data, named according to the last day in its range. For example, a file "Parler_11_cluster_nodelist" contains data from the ten days ending on day 11 (day 2 through day 11).
提供机构：
figshare
创建时间：
2024-10-01
