Characterizing ideologically homogeneous clusters during the 2020 election

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).