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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