Development of a Network-centric System for the Study of Human Migration Based on User Profiles in Online Social Networks

Global and internal migration processes are among the most complicated political and scientific topics that are predicted to have a huge impact on human lives in the near future. However, traditional methods of migration analysis cannot be used effectively enough in a modern world. Migrants are often unable to access government services in their host country, making them invisible to the government. These limitations create significant gaps in the information needed to develop effective policies and monitor the needs of the population. One of the solutions to this problem is the use of user data from social media to analyze internal and global migration. The proposed study makes an attempt to develop a system for analysis of migration processes based on user data from social media. The developed software consists out of two modules: a user data upload module located in the cloud service, and a data analysis module for the purposes of creation maps of migration processes.