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How Random are Online Social Interactions?

The massive amounts of data that social media generates has facilitated the study of online human behavior on a scale unimaginable a few years ago. At the same time, the much discussed apparent randomness with which people interact online makes it appear as if these studies cannot reveal predictive...

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Detalles Bibliográficos
Autores principales: Wang, Chunyan, Huberman, Bernardo A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3433691/
https://www.ncbi.nlm.nih.gov/pubmed/22953054
http://dx.doi.org/10.1038/srep00633
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author Wang, Chunyan
Huberman, Bernardo A.
author_facet Wang, Chunyan
Huberman, Bernardo A.
author_sort Wang, Chunyan
collection PubMed
description The massive amounts of data that social media generates has facilitated the study of online human behavior on a scale unimaginable a few years ago. At the same time, the much discussed apparent randomness with which people interact online makes it appear as if these studies cannot reveal predictive social behaviors that could be used for developing better platforms and services. We use two large social databases to measure the mutual information entropy that both individual and group actions generate as they evolve over time. We show that user's interaction sequences have strong deterministic components, in contrast with existing assumptions and models. In addition, we show that individual interactions are more predictable when users act on their own rather than when attending group activities.
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spelling pubmed-34336912012-09-05 How Random are Online Social Interactions? Wang, Chunyan Huberman, Bernardo A. Sci Rep Article The massive amounts of data that social media generates has facilitated the study of online human behavior on a scale unimaginable a few years ago. At the same time, the much discussed apparent randomness with which people interact online makes it appear as if these studies cannot reveal predictive social behaviors that could be used for developing better platforms and services. We use two large social databases to measure the mutual information entropy that both individual and group actions generate as they evolve over time. We show that user's interaction sequences have strong deterministic components, in contrast with existing assumptions and models. In addition, we show that individual interactions are more predictable when users act on their own rather than when attending group activities. Nature Publishing Group 2012-09-05 /pmc/articles/PMC3433691/ /pubmed/22953054 http://dx.doi.org/10.1038/srep00633 Text en Copyright © 2012, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/
spellingShingle Article
Wang, Chunyan
Huberman, Bernardo A.
How Random are Online Social Interactions?
title How Random are Online Social Interactions?
title_full How Random are Online Social Interactions?
title_fullStr How Random are Online Social Interactions?
title_full_unstemmed How Random are Online Social Interactions?
title_short How Random are Online Social Interactions?
title_sort how random are online social interactions?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3433691/
https://www.ncbi.nlm.nih.gov/pubmed/22953054
http://dx.doi.org/10.1038/srep00633
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