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Table 1 Retweet categories’ networks. The table contains the characteristics of each of the eight retweet networks, such as the number of nodes N, the number of edges E, and the average degree \(\langle k_{\mathrm{in}} \rangle = \langle k_{\mathrm{out}} \rangle = \langle k\rangle /2 \). We also report the number of IRA users in each retweet network \(N_{\mathrm{IRA}}\), as well as their average in-degree \(\langle k_{\mathrm{in}} \rangle \) and out-degree \(\langle k_{\mathrm{out}} \rangle \)

From: Suspended accounts align with the Internet Research Agency misinformation campaign to influence the 2016 US election

 

Full Network

IRA

 

N

E

k〉/2

\(N_{\mathrm{IRA}}\)

\(\langle k_{\mathrm{out}}\rangle \)

\(\langle k_{\mathrm{in}} \rangle \)

Fake

175,605

1,143,083

6.5

54

32.5

5.4

Extreme bias right

249,659

1,637,927

6.6

70

27.3

7.1

Right

345,644

1,797,023

5.2

84

30.1

4.7

Right leaning

216,026

495,307

2.3

67

6.3

1.7

Center

864,733

2,501,037

2.9

163

4.6

2.6

Left leaning

1,043,436

3,570,653

3.4

140

8.9

2.2

Left

536,903

1,801,658

3.4

105

4.3

2.4

Extreme bias Left

78,911

277,483

3.5

10

0.0

1.6