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Anger Is More Influential than Joy: Sentiment Correlation in Weibo

Recent years have witnessed the tremendous growth of the online social media. In China, Weibo, a Twitter-like service, has attracted more than 500 million users in less than five years. Connected by online social ties, different users might share similar affective states. We find that the correlatio...

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Detalles Bibliográficos
Autores principales: Fan, Rui, Zhao, Jichang, Chen, Yan, Xu, Ke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4198202/
https://www.ncbi.nlm.nih.gov/pubmed/25333778
http://dx.doi.org/10.1371/journal.pone.0110184
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author Fan, Rui
Zhao, Jichang
Chen, Yan
Xu, Ke
author_facet Fan, Rui
Zhao, Jichang
Chen, Yan
Xu, Ke
author_sort Fan, Rui
collection PubMed
description Recent years have witnessed the tremendous growth of the online social media. In China, Weibo, a Twitter-like service, has attracted more than 500 million users in less than five years. Connected by online social ties, different users might share similar affective states. We find that the correlation of anger among users is significantly higher than that of joy. While the correlation of sadness is surprisingly low. Moreover, there is a stronger sentiment correlation between a pair of users if they share more interactions. And users with larger number of friends possess more significant sentiment correlation with their neighborhoods. Our findings could provide insights for modeling sentiment influence and propagation in online social networks.
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spelling pubmed-41982022014-10-21 Anger Is More Influential than Joy: Sentiment Correlation in Weibo Fan, Rui Zhao, Jichang Chen, Yan Xu, Ke PLoS One Research Article Recent years have witnessed the tremendous growth of the online social media. In China, Weibo, a Twitter-like service, has attracted more than 500 million users in less than five years. Connected by online social ties, different users might share similar affective states. We find that the correlation of anger among users is significantly higher than that of joy. While the correlation of sadness is surprisingly low. Moreover, there is a stronger sentiment correlation between a pair of users if they share more interactions. And users with larger number of friends possess more significant sentiment correlation with their neighborhoods. Our findings could provide insights for modeling sentiment influence and propagation in online social networks. Public Library of Science 2014-10-15 /pmc/articles/PMC4198202/ /pubmed/25333778 http://dx.doi.org/10.1371/journal.pone.0110184 Text en © 2014 Fan 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
Fan, Rui
Zhao, Jichang
Chen, Yan
Xu, Ke
Anger Is More Influential than Joy: Sentiment Correlation in Weibo
title Anger Is More Influential than Joy: Sentiment Correlation in Weibo
title_full Anger Is More Influential than Joy: Sentiment Correlation in Weibo
title_fullStr Anger Is More Influential than Joy: Sentiment Correlation in Weibo
title_full_unstemmed Anger Is More Influential than Joy: Sentiment Correlation in Weibo
title_short Anger Is More Influential than Joy: Sentiment Correlation in Weibo
title_sort anger is more influential than joy: sentiment correlation in weibo
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4198202/
https://www.ncbi.nlm.nih.gov/pubmed/25333778
http://dx.doi.org/10.1371/journal.pone.0110184
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