Paper Title
Using A Bivariate Longitudinal Poisson Model to Analyze Dependencies between Social Networking Services: Facebook and LinkedIn

Unarguably, Social Networking services such as Facebook and professional based LinkedIn are the most popular tools of communication in today’s times. Though it appears that there is a close relation between these two services but yet there is no statistical study confirming this statement. In this context, this paper proposes a sophisticated statistical model in the form of a bivariate longitudinal Poisson distribution that analyzes the number of times a sample of 360 professional connects to his or her facebook and LinkedIn accounts per day over a one week period subject to time-independent covariates such as Gender, Marital Status, Number of Children and their age. Keywords- Longitudinal, BINAR(1), Poisson, GMM.