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Applied Network Science

Table 1 Properties of the complete networks (i.e., using all the data from the entire 2019–2022 period), in both cases, with 275 nodes

From: Modeling disinformation networks on Twitter: structure, behavior, and impact

 

Tweets

RTs

E(G)

Q(G)

\(\overline{Cc}(G)\)

\(\overline{EVC}(G)\)

Journalists

3,906,047

96,551

0.170

0.743

0.334

0.028

Disinformation

7,194,766

513,566

0.268

0.580

0.502

0.036

  1. RTs refers to retweets (edges), and the last four columns correspond to metrics defined in Sect. “Network analysis” (in all cases, metrics are in the [0, 1] range, where a higher value denotes the network is more efficient, modular, or clustered)
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