Detecting discussion communities on vaccination in twitter
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- 作者：Gema Bello-Orgaza ; gema.bello@uam.es" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Julio Hernandez-Castrob ; jch27@kent.ac.uk" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; David Camachoa ; david.camacho@uam.es" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Social big data ; Community detection ; Vaccines
- 刊名：Future Generation Computer Systems
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：66
- 期：Complete
- 页码：125-136
- 全文大小：1729 K
文摘
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A methodology to detect discussion communities on vaccination is proposed.
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Vaccine opinions in twitter can affect the decision-making about vaccination.
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The most relevant and influential users are identified analysing the communities.
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The collective sentiment on vaccination has been studied for the detected groups.
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Results provide useful information to improve immunization strategies.