Lognormal distribution in the digg online social network
Delft University of Technology, Faculty of EEMCS, 2628 CD Delft, Netherlands
Corresponding author: a firstname.lastname@example.org
Revised: 2 June 2011
Published online: 15 September 2011
We analyse the number of votes, called the digg value, which measures the impact or popularity of submitted information in the Online Social Network Digg. Experiments over five years indicate that the digg value of a story on the first frontpage follows closely a lognormal distribution. While the law of proportionate effect explains lognormal behavior, the proportionality factor a in that law is assumed to have a constant mean, whereas experiments show that a decreases linearly with time. Our hypothesis, the probability that a user diggs (votes) on a story given that he observes a certain digg value m equals a×m, can explain observations, provided that the population of users that can digg on that story is close to a Gaussian.
© EDP Sciences, Società Italiana di Fisica, Springer-Verlag, 2011