Lognormal infection times of online information spread.
Where this comes from
- Record sourced from PubMed, PMID 23700473.
- Also identified by DOI 10.1371/journal.pone.0064349 and PMC identifier 3660255.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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.
Medical subject headings
- Communication
- Human Activities
- Social Media