DocumentCode :
2914283
Title :
Inferring user personality in social networks: A case study in Facebook
Author :
Ortigosa, Alvaro ; Quiroga, José Ignacio ; Carro, Rosa M.
Author_Institution :
Comput. Sci. Dept., Univ. Autonoma de Madrid, Madrid, Spain
fYear :
2011
fDate :
22-24 Nov. 2011
Firstpage :
563
Lastpage :
568
Abstract :
In the context of adaptive intelligent systems, it is essential to build user models to be considered with adaptation purposes. Personality is an interesting user feature to be incorporated in user models; it may lead to know the user needs or preferences in different situations. In this direction, eliciting user personality is needed. This information should be obtained as unobtrusively as possible, yet without compromising the reliability of the model built. In this paper, we present a method for eliciting user personality by analyzing user interactions within the social network Facebook, with the goal of mining behavioral patterns. We have developed TP2010, a Facebook application based on the ZKPQ-50-cc questionnaire, to get information about both the user personality and his interactions within Facebook. We have built a classifier model starting from the analysis of a set of data from more than 11000 users. The results show that it is feasible to get information about the user personality by analyzing data from social network interactions.
Keywords :
behavioural sciences computing; data mining; pattern classification; social networking (online); social sciences computing; user modelling; Facebook application; TP2010; ZKPQ-50-cc questionnaire; adaptive intelligent system; behavioral pattern mining; classifier model; social network interaction; user interaction analysis; user model; user personality elicitation; user personality inference; Accuracy; Adaptation models; Context; Data models; Facebook; Predictive models; Data mining in social networks; personality inference; user modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Applications (ISDA), 2011 11th International Conference on
Conference_Location :
Cordoba
ISSN :
2164-7143
Print_ISBN :
978-1-4577-1676-8
Type :
conf
DOI :
10.1109/ISDA.2011.6121715
Filename :
6121715
Link To Document :
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