Behavioural Scoring Based on Social Activity and Financial Analytics

Abstract

Credit scoring is probably the most seasoned utilization of an examination. Considering a couple of years, an enormous number of complex characterization strategies have been created to support the measurable execution of credit scoring models. Rather than concentrating on credit scoring, this project relies on alternative data sources to support and implement other factors to identify the characteristics of an individual. This work identifies unique factors through a person’s online presence and the financial record to provide them a unique score that signifies an individual’s behaviour. The proposal demonstrates how a person’s online activity on social media sites, like Facebook and Twitter determine the character and behaviour of the person. Some factors that are included for the social scoring are types of posts shared, comments added, posts posted, pages followed and liked. These data are plotted against a graph signifying the time to obtain a social score. There is a financial scoring model that will determine the person’s financial fitness and likelihood to engage in criminal activities due to financial deformity. Combining both social scoring and financial scoring at a specific weight will provide with a behavioural score. This score will classify the subjects and help determine good citizens among the rest. Subjects with higher behavioural scores predict the promise and practice of a good citizen. This can be used to engage and provide added incentives to good citizens in order to promote good citizenship.