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Table 2 Number of inter-community retweets divided by the number of intra-community retweets for the 20 most heavily retweeted nodes in the retweet network

From: Online reactions to the 2017 ‘Unite the right’ rally in Charlottesville: measuring polarization in Twitter networks using media followership

  1. We obtain communities by maximizing modularity using the GenLouvain code with a resolution-parameter value of γ=1. The color of each node indicates the mean media PCA score of its GenLouvain community. We use blue to signify communities that are on the Left (i.e., ones with a negative mean media PCA score) and red to signify communities that are on the Right (i.e., ones with a positive mean media PCA score). Nodes with large in-degrees on the Left have larger values for the number of inter-community retweets divided by the number of intra-community retweets than is the case for nodes with large in-degrees on the Right. We label the public Twitter accounts.