Gravity Model for Flow Migration Within Wireless Communication Networks

Abstract

     This paper investigated an Iraqi dataset from Korek Telecom Company as Call Detail Recorded (CDRs) for six months falling between Sep. 2020-Feb. 2021. This data covers 18 governorates, and it falls within the period of COVID-19. The Gravity algorithm was applied into two levels of abstraction in deriving the results as the macroscopic and mesoscopic levels respectively. The goal of this study was to reveal the strength and weakness of people migration in-between the Iraqi cities. Thus, it has been clear that the relationship between each city with the others is based on   and  of mobile people. However, the COVID-19 effects on the people’s migration needed to be explored. Whereas the main function of the gravity model is to clarify the migration flows through modeling spatial interaction. This was implemented using Python scripting language. It is concluded that the gravity model has a powerful ability to analyze the movement of people between cities. According to the mean of result between governorates, showing that the highest attraction was between Babil and Anbar governorates amounted to , while the lowest attraction was between Wasit and Thi-Qar governorates with , and the others ranged between .