Spatiotemporal correlations of handset-based service usages

Abstract

We study spatiotemporal correlations and temporal diversities of handset-basedservice usages by analyzing a dataset that includes detailed information aboutlocations and service usages of 124 users over 16 months. By constructing thespatiotemporal trajectories of the users we detect several meaningful places orcontexts for each one of them and show how the context affects the service usagepatterns. We find that temporal patterns of service usages are bound to the typicalweekly cycles of humans, yet they show maximal activities at different times. We firstdiscuss their temporal correlations and then investigate the time-ordering behaviorof communication services like calls being followed by the non-communicationservices like applications. We also find that the behavioral overlap network based onthe clustering of temporal patterns is comparable to the communication network ofusers. Our approach provides a useful framework for handset-based data analysis andhelps us to understand the complexities of information and communicationstechnology enabled human behavior.