Investigating preferred relationship through fuzzy sets in social networking sites
by Pradip Swarnakar; Ajay Kumar; Manak Wadhwa
International Journal of Web Based Communities (IJWBC), Vol. 12, No. 2, 2016

Abstract: The aim of this paper is to identify the strength of socio-demographic factors that motivate a user to send friend request on social networks. The study is supported by a primary survey that identifies five factors of the user's namely, age, sex, mutual friends, school and relationship status which are important in sending friend request. Fuzzy numbers are used to represent the identified factors because they allow expert opinions, uncertainty and impreciseness to be incorporated into the model. A multiple input, single output (MISO) model has been developed using Mamdani fuzzy inference system (FIS) and sensitivity analysis has been done. The results obtained show how the fuzzy logic approach translates vague, ambiguous, qualitative and imprecise information into numerical terms, which helps to identify the most informative contents while sending friend request. The paper also integrates primary survey and expert judgement to gain a deeper insight about the social behaviour.

Online publication date: Sat, 25-Jun-2016

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