MULTIDIMENSIONAL INTERESTS TROUGH AN ONLINE SOCIAL NETWORK SENSOR FOR SMART ENVIRONMENTS

Ricardo Barbosa () and Ricardo Santos ()
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Ricardo Barbosa: CIICESI – ESTG|P.PORTO School of Management and Technology - Polytechnic of Porto, Portugal
Ricardo Santos: CIICESI – ESTG|P.PORTO School of Management and Technology - Polytechnic of Porto, Portugal

Journal of Information Systems & Operations Management, 2016, vol. 10, issue 2, 299-310

Abstract: Online social networks allow users to socialise with others and also construct and manage their identities via self-presentation. Personality is strongly associated with human behaviour, is reflected and has impact on a user’s online profile because people reveal their personality traits through their use of online social networks, who can be predicted with a relatively high accuracy. Smart environments need to successfully identify their user needs, personality and behaviour in order to prepare appropriate interactions when facing different types of events. Due to a constant presence in the lives of their users, online social networks can provide a rich source of data that can be used to profile and understand personal preferences and interactions of an individual. This creates a network of interests that is often represented by a single network that aggregates all of the connections. In this paper we propose a model for a multidimensional approach to this network of interests.

Date: 2016
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