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dc.contributor.authorSubirats Maté, Laia-
dc.contributor.authorReguera Terrazo, Natalia-
dc.contributor.authorBañón Hernández, Antonio Miguel-
dc.contributor.authorMinguillón Alfonso, Julià-
dc.contributor.authorArmayones Ruiz, Manuel-
dc.contributor.otherUniversidad de Almería-
dc.contributor.otherEurecat, Centre Tecnològic de Catalunya-
dc.contributor.otherUniversitat Oberta de Catalunya. Estudis de Ciències de la Salut-
dc.identifier.citationSubirats Maté, L., Reguera Terrazo, N., Bañón Hernández, A.M., Gómez Zúñiga, B., Minguillón, J. & Armayones Ruiz, M. (2018). Mining Facebook Data of People with Rare Diseases: A Content-Based and Temporal Analysis. International Journal of Environmental Research and Public Health, 15(9), 1-13. doi: 10.3390/ijerph15091877-
dc.description.abstractThis research characterized how Facebook deals with rare diseases. This characterization included a content-based and temporal analysis, and its purpose was to help users interested in rare diseases to maximize the engagement of their posts and to help rare diseases organizations to align their priorities with the interests expressed in social networks. This research used Netvizz to download Facebook data, word clouds in R for text mining, a log-likelihood measure in R to compare texts and TextBlob Python library for sentiment analysis. The Facebook analysis shows that posts with photos and positive comments have the highest engagement. We also observed that words related to diseases, attention, disability and services have a lot of presence in the decalogue of priorities (which serves for all associations to work on the same objectives and provides the lines of action to be followed by political decision makers) and little on Facebook, and words of gratitude are more present on Facebook than in the decalogue. Finally, the temporal analysis shows that there is a high variation between the polarity average and the hour of the day.en
dc.publisherAnalysis. International Journal of Environmental Research and Public Health-
dc.relation.ispartofAnalysis. International Journal of Environmental Research and Public Health, 2018, 15(9)-
dc.rightsCC BY-
dc.subjectrare diseasesen
dc.subjectsocial mediaen
dc.subjectredes socialeses
dc.subjectxarxes socialsca
dc.subjectdata miningen
dc.subjectminería de datoses
dc.subjectmineria de dadesca
dc.subjectenfermedades rarases
dc.subjectenfermetats raresca
dc.subject.lcshSocial networksen
dc.titleMining facebook data of people with rare diseases: A content-based and temporal analysis-
dc.subject.lemacXarxes socialsca
dc.subject.lcshesRedes socialeses
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