Human network usage patterns revealed by telecom data

Call detail records (CDRs) collected at telecommunication networks have been well studied to reveal human behaviors such as voice service usage, contact regularities and mobility patterns. With the advances in big data technology, carriers can now collect, store and analyze more data, such as records of user mobile web activities, at scales much larger than CDRs. In this paper, we study 14 features extracted from both call and web records through statistical modeling. We also analyze the impact of locations on voice usage, and examine the correlations between the usage of voice and web services. The results can be used in user profiling, service usage prediction, and network dimensioning.