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dc.contributor.author
Tommasel, Antonela
dc.contributor.author
Corbellini, Alejandro
dc.contributor.author
Godoy, Daniela Lis
dc.contributor.author
Schiaffino, Silvia Noemi
dc.date.available
2016-07-29T21:45:37Z
dc.date.issued
2015-10
dc.identifier.citation
Tommasel, Antonela; Corbellini, Alejandro; Godoy, Daniela Lis; Schiaffino, Silvia Noemi; Exploring the role of personality traits in followee recommendation; Emerald Group Publishing Limited; Online Information Review; 39; 6; 10-2015; 812-830
dc.identifier.issn
1468-4527
dc.identifier.uri
http://hdl.handle.net/11336/6837
dc.description.abstract
Purpose - Followee recommendation is a problem rapidly gaining importance in Twitter as well as in other micro-blogging communities. To find interesting users to follow, most recommendation systems leverage different factors such as graph topology or user-generated content, among others. They mostly disregard, however, the effect of psychological characteristics, such as personality, over the followee selection process. As personality is considered one of the primary factors that influence human behaviour, this study aims at shedding some light on the impact of personality traits on followee selection. Design/Methodology/Approach - We performed a data analysis comparing the similarity among Twitter users and their followees regarding personality traits. We analysed three different similarity measures. First, we computed an overall similarity considering the five personality traits or dimensions of the Five-Factor model as a whole. Second, we computed dimension-to-dimension similarity considering each individual personality trait independently of each other. Third, we calculated a cross-dimension similarity considering each personality dimension in relation to the others. Findings - This study showed that personality should be considered as a distinctive factor in the process of followee selection. However, personality dimensions should not be analysed as a whole as the overall personality similarity may not accurately assess the actual matching between individuals. Instead, the performed data analysis showed the existence of relations among the individual dimensions. Thus, the importance of considering each personality trait with respect to others is stated. Originality/Value - This study is among the firsts to study the impact of personality, one of the primary factors that influence human behaviour and social relationships, in the selection of followees in micro-blogging communities.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Emerald Group Publishing Limited
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Followee Recomendation
dc.subject
Recommender Systems
dc.subject
Personality Traits
dc.subject.classification
Ciencias de la Computación
dc.subject.classification
Ciencias de la Computación e Información
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Exploring the role of personality traits in followee recommendation
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2016-07-29T18:32:36Z
dc.journal.volume
39
dc.journal.number
6
dc.journal.pagination
812-830
dc.journal.pais
Reino Unido
dc.journal.ciudad
Londres
dc.description.fil
Fil: Tommasel, Antonela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina
dc.description.fil
Fil: Corbellini, Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina
dc.description.fil
Fil: Godoy, Daniela Lis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina
dc.description.fil
Fil: Schiaffino, Silvia Noemi. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina
dc.journal.title
Online Information Review
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.emeraldinsight.com/doi/abs/10.1108/OIR-04-2015-0107
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/10.1108/OIR-04-2015-0107
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1108/OIR-04-2015-0107
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