Abstract
The proliferation of destructive behaviour as a result of the use of social media for business and election campaigns has risen. As with personal, corporate, and governmental propaganda, social media involvement has aided in the promotion of anti-social behaviour. After concealing himself behind a hacked profile, the invader is given a complete platform to spread criticism. The purpose of this study is to extract significant pieces from social media data that indicate a complicated relationship in order to discover anomalies. A social media mining based framework is used to improve the accuracy of user space classification by including Influence, Homophily, and Balance Theory.