Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Doerr, Christian, Blenn, Norbert, Van Mieghem, Piet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
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
_version_ 1782270528057245696
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
work_keys_str_mv AT doerrchristian lognormalinfectiontimesofonlineinformationspread
AT blennnorbert lognormalinfectiontimesofonlineinformationspread
AT vanmieghempiet lognormalinfectiontimesofonlineinformationspread