Assistant Professor, University of Tehran
Data Science : Lessons learned from analysis of a massive mobile phone dataset
LocationHalls department, Hall 5
Date and TimeThursday, 28 December 2017
15:30 - 16:30
AbstractMobile phones are ubiquitous. In many countries, including Iran, the coverage reaches 100% of the population, and even in remote villages, it is not unusual to cross paths with someone in the street talking on a mobile phone. Due to their ubiquity, mobile phones have the potential to be used as millions of sensors of their environment and provide us with an extremely rich and informative source of data.
The analysis of the massive mobile phone datasets that are gathered by telecom operators has emerged a decade ago as a side-topic of network theory, but with the increasing availability of such large-scale anonymized datasets, it has grown into a stand-alone field of study. In this talk, we discuss successes, continued challenges, and the valuable lessons that we have learned from analysis of a gigantic indigenous mobile phone dataset.