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TableĀ 5 Descriptive statistics of derived MVMC clusters. Centralities are calculated on the cluster by cluster networks per time period

From: Mapping state-sponsored information operations with multi-view modularity clustering

Era Cluster Size Centrality (Total) Centrality (Betweenness)
1 Cluster 0: Defend Hong Kong 3397 0.094 0.000
Cluster 1: Guo Wengui and Bannon 2889 0.091 0.000
Cluster 2: Hong Kong and Taiwan Elections 659 0.016 0.153
Cluster 3: Kpop Fans and Health Tips 462 0.039 0.167
Cluster 4: Stop Violence and Love Country 367 0.005 0.000
Cluster 5: Guo Liar and COVID-19 313 0.008 0.000
Cluster 6: Love Hong Kong and Support the Police 170 0.003 0.236
2 Cluster 0: Stop Violence and the Color Revolution 5945 0.060 0.083
Cluster 1: Guo Wengui Con Man 5534 0.057 0.276
Cluster 2: Encouraging China during COVID 2746 0.031 0.032
Cluster 3: Carrie Lam and Hong Kong Peace 534 0.008 0.000
Cluster 4: Stop Violence during Elections 433 0.005 0.192
Cluster 5: Punishment for Protestors 369 0.004 0.058
Cluster 6: Guo Wengui Fugitive 338 0.004 0.208
Cluster 7: Western Musicals and the Pandemic 331 0.014 0.052
Cluster 8: Assorted Entertainment and Hong Kong Encouragement 314 0.007 0.038
Cluster 9: Justin Bieber and Stopping Hong Kong Violence 83 0.001 0.244
Cluster 10: Hong Kong (Isolated) 38 0.000 0.321
Cluster 11: Guo Wengui (Isolated) 15 0.000 0.173