User behavioral characteristics identification from mobile call logs

Abstract

There is a huge penetration of mobile phones and is forecasted to progress in its growth. By 2019, there will be five billion users of mobile phone (Statista - The statistics portal for market data, market research and market studies, (2017), [1]). According, Statista – A portal for statistics. This tremendous usage of mobile phones created lot of call log data. This work concentrates on one of the biggest common and woeful issue which relates to the subjective prosperity of the humanity which is the stress. Clustering and Correlation algorithms were applied on call log data. Various behavioral characteristics like mental overload, disturbed sleep, somatic complaints, psychological distress etc and abnormal behaviors were inferred which could enable the decision makers to draw out valuable insights. Finding the association between mobile phone use and behavioral characteristics of users is the main intention of this investigation. This investigate can be of vital value to professionals, analysts, medical experts and therapists who study the patient’s cases.