National Security Intelligence through Social Network Data Mining

Abstract

Social media is the most responsive method in modern times for communication through the Internet platform. Social media has evolved and continued to shape how we communicate to share our opinions and feelings. It has brought in a consistent real-time communication pattern that has never been in existence before now. Young and older people, organizations, government institutions, professional bodies, etc., have dedicated social media presence through which they interact with other users. Social media also serves as a strong network engine that links users irrespective of their geographical locations. This new communication platform will be available in the future with a significant role in global communication enhancement. Hence, there is an urgent need to study usage patterns in social media platforms to proffer automated systems that intelligence agencies can utilize as a service for national security incidents prevention. This research study proposes an automated machine learning model that can enhance quick intervention to national security incidents through social media data mining.