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Lognormal Infection Times of Online Information Spread
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 partici...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3660255/ https://www.ncbi.nlm.nih.gov/pubmed/23700473 http://dx.doi.org/10.1371/journal.pone.0064349 |
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author | Doerr, Christian Blenn, Norbert Van Mieghem, Piet |
author_facet | Doerr, Christian Blenn, Norbert Van Mieghem, Piet |
author_sort | Doerr, Christian |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3660255 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-36602552013-05-22 Lognormal Infection Times of Online Information Spread Doerr, Christian Blenn, Norbert Van Mieghem, Piet PLoS One Research Article 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. Public Library of Science 2013-05-21 /pmc/articles/PMC3660255/ /pubmed/23700473 http://dx.doi.org/10.1371/journal.pone.0064349 Text en © 2013 Doerr et al http://creativecommons.org/licenses/by/4.0/ 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 properly credited. |
spellingShingle | Research Article Doerr, Christian Blenn, Norbert Van Mieghem, Piet Lognormal Infection Times of Online Information Spread |
title | Lognormal Infection Times of Online Information Spread |
title_full | Lognormal Infection Times of Online Information Spread |
title_fullStr | Lognormal Infection Times of Online Information Spread |
title_full_unstemmed | Lognormal Infection Times of Online Information Spread |
title_short | Lognormal Infection Times of Online Information Spread |
title_sort | lognormal infection times of online information spread |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3660255/ https://www.ncbi.nlm.nih.gov/pubmed/23700473 http://dx.doi.org/10.1371/journal.pone.0064349 |
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