Table 1.
A summary of variables definitions.
Fig 1.
An activity network with a social network.
Distances are measured on the social network.
Table 2.
A summary of the analyzed datasets.
Table 3.
Contagion spread: The larger the distance the less likely a user will retweet.
Fig 2.
An activity network with a social network illustrating global contagion.
Fig 3.
Distributions of distances, measured on the social network (G) for each of the three analyzed datasets, DS1 to DS3 (Table 2).
Table 4.
Logistic regression results.
Fig 4.
The time axis scale is transformed into a log scale.
Table 5.
Time when 80% of inter-retweet times of local and global contagion are reached, considering non-viral information.
Table 6.
Kolmogorov-Smirnov results.
Fig 5.
Retweet-count distribution of BIT and non-viral tweets.