Applied Network Science

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

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