title: Lognormal infection times of online information spread.
abstract: The infection times of individuals in online information spread such as the inter-arrival time of Twitter messages or the propagation time of news stories on a social media site can be explained through a convolution of lognormally distributed observation and reaction times of the individual participants. Experimental measurements support the lognormal shape of the individual contributing processes, and have resemblance to previously reported lognormal distributions of human behavior and contagious processes.
authors.affiliation: Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, The Netherlands.
authors.forename: Christian
authors.initials: C
authors.lastname: Doerr
authors.forename: Norbert
authors.initials: N
authors.lastname: Blenn
authors.forename: Piet
authors.initials: P
authors.lastname: Van Mieghem
mesh_terms: D000465:Algorithms; D003142:Communication; D006802:Human Activities; D006801:Humans; D015233:Models, Statistical; D061108:Social Media