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Table 4 Structural properties of the main retweet communities. HHI is computed for N=10 top users in each community

From: Impact investing market on Twitter: influential users and communities

    No. of unweighted edges No. of weighted edges  
id Central user No. of nodes within outside out/in within outside out/in HHI
0 @SchSocEnt 6821 16349 1913 0.117 32591 2578 0.079 0.123
2 @jalloyd4 10914 15747 412 0.026 27121 518 0.019 0.274
4 @darrenwalker 6855 16251 1034 0.063 24668 1240 0.050 0.103
8 @SkollFoundation 3494 6501 329 0.050 8793 366 0.041 0.112
9 @REDFworks 12419 23589 1709 0.072 35321 1951 0.055 0.100
10 @PRI_News 6319 12400 596 0.048 18356 689 0.037 0.103
11 @CaelusGreenRoom 6335 10514 698 0.066 15939 791 0.049 0.106
18 @SocialEnt_UK 6811 15980 1376 0.086 26540 1835 0.069 0.110
26 @sigeneration 3193 6873 245 0.035 9872 254 0.025 0.103
30 @EUScienceInnov 3579 5832 241 0.041 7830 264 0.033 0.102