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Multidimensional Interests Trough An Online Social Network Sensor For Smart Environments

Author

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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)

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.

Suggested Citation

  • Ricardo Barbosa & Ricardo Santos, 2016. "Multidimensional Interests Trough An Online Social Network Sensor For Smart Environments," Romanian Economic Business Review, Romanian-American University, vol. 10(2), pages 299-310, December.
    • Handle: RePEc:rau:journl:v:10:y:2016:i:2:p:299-310
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