Scaling-Laws of Human Broadcast Communication Enable Distinction between Human, Corporate and Robot Twitter Users
(a) Probability density function (PDF) for the inter-tweet delay of each class. The distributions were created using 100 logarithmically spaced bins between decades and . The power-laws fitted to the tails of the distributions have an exponent for personal accounts, for managed accounts, and for bot-controlled accounts. (b) The complementary cumulative distribution function (CCDF) for the inter-tweet delay in each class is shown along with the power-law distribution fitted to the tail. The full statistics of the power-law fits are presented in Table 2.