Spatiotemporal correlations of handset-based service usages

TL;DR

This study analyzes handset-based service usage over 16 months, revealing how spatial and temporal patterns, weekly cycles, and behavioral overlaps influence user activity and communication behaviors.

Contribution

It introduces a framework for analyzing spatiotemporal correlations in handset data, linking context, temporal patterns, and behavioral overlaps in human activity.

Findings

Temporal service usage follows weekly human cycles.

Communication and non-communication services exhibit specific time-ordering patterns.

Behavioral overlap networks mirror user communication networks.

Abstract

We study spatiotemporal correlations and temporal diversities of handset-based service usages by analyzing a dataset that includes detailed information about locations and service usages of 124 users over 16 months. By constructing the spatiotemporal trajectories of the users we detect several meaningful places or contexts for each one of them and show how the context affects the service usage patterns. We find that temporal patterns of service usages are bound to the typical weekly cycles of humans, yet they show maximal activities at different times. We first discuss their temporal correlations and then investigate the time-ordering behavior of communication services like calls being followed by the non-communication services like applications. We also find that the behavioral overlap network based on the clustering of temporal patterns is comparable to the communication network of users. Our approach provides a useful framework for handset-based data analysis and helps us to understand the complexities of information and communications technology enabled human behavior.