Lognormal infection times of online information spread.

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...

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Main Authors: Christian Doerr, Norbert Blenn, Piet Van Mieghem
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3660255?pdf=render
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spelling doaj-9f6ed0f96eba4492a9181c9770de5c6e2020-11-25T00:47:04ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0185e6434910.1371/journal.pone.0064349Lognormal infection times of online information spread.Christian DoerrNorbert BlennPiet Van MieghemThe 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.http://europepmc.org/articles/PMC3660255?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Christian Doerr
Norbert Blenn
Piet Van Mieghem
spellingShingle Christian Doerr
Norbert Blenn
Piet Van Mieghem
Lognormal infection times of online information spread.
PLoS ONE
author_facet Christian Doerr
Norbert Blenn
Piet Van Mieghem
author_sort Christian Doerr
title Lognormal infection times of online information spread.
title_short 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_sort lognormal infection times of online information spread.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2013-01-01
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.
url http://europepmc.org/articles/PMC3660255?pdf=render
work_keys_str_mv AT christiandoerr lognormalinfectiontimesofonlineinformationspread
AT norbertblenn lognormalinfectiontimesofonlineinformationspread
AT pietvanmieghem lognormalinfectiontimesofonlineinformationspread
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