Lognormal infection times of online information spread

Journal article (2013)
Department
Intelligent Systems (EEMCS) (TU Delft)
Copyright: This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
DOI: https://doi.org/doi:10.1371/journal.pone.0064349
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Published Date

21-05-2013

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Source:

PLoS One, 8 (5), 2013

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

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.

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