Building emergency response system based on reality mining

Reality mining provides us the ability to analyze sociometric badges determining how society behaves on particular situation. These sociometric badges are collectively organized to trace and predict behavioral stereotypes. The etiology of epidemic can be brightened much better when these sociometric badges are correlated with vaccination data. The model proposed in this paper is based on multi-level information gathering and filtration system. This model describes the ability of reality mining to predict the impact of natural, medical or scientific hazards on a particular group in society. In this model society is divided in groups on the basis of their intra-group and inter-group interactions. It determines the sequestered groups and the quickest information distributing group. We predict the most vulnerable group and hence how to provide them best cure. Here these parameters are collected and assembled using the latest means of communication i.e. cellphones, e-mails and social networking sites.