Application of Data Analytics in Building a Game Theory Model for Social Networking Sites
The application under this research work is an extended form of the previous study performed on two giants of the social networking sites viz. Facebook and Instagram. This study includes the perception of young generation towards these two social networking sites. For this, a homogeneous group of students on a local college campus are used as the sample. An additional feature of Interoperability which plays an important role in exchange and make use of information between these two platforms generates a 8×8 game theory model. The study begins with the data analytical tools based on the survey of the students. The reliability of the questionnaire, formed on the basis of interactive parameters, is tested by using an appropriate reliability test-Cronbach’s alpha test. The graphical and descriptive statistics gives the initial trends among the students. The regression analysis is carried out for all the combinations of eight parameters of both Facebook and Instagram, where the intercept data is collected as payoff values. This leads to the formation of the two player Game theory model. As the final result, the optimum strategies of each player and the value of the game is calculated. The interpretation of the calculated values reflect the influence of decision making for the optimum strategies under the game theory model.
Satyajit S. Uparkar
Department of Computer Application, Shri Ramdeobaba College of Engineering and Management, Nagpur, India.
Dr. Nalini V. Vaidya
Department of Applied Mathematics, G. H. Raisoni College of Engineering, Nagpur, India.
Mrs. Kalpana G. Lokhande
Department of Applied Mathematics, Priyadarshini College of Engineering, Nagpur, India.
Priti C. Golar
Department of Information Technology, St. Vincent Pallotti College of Engineering and Technology, Nagpur, India.
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