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Cellphone service-providers continuously collect Call Detail Records (CDR) asa usage log containing spatio-temporal traces of phone users. We proposed amulti-layered hierarchical analytical model for large spatio-temporal datasetsand applied that for the progressive exploration of social features of a city,e.g., social activities, relationships, and groups, from CDR. This approachutilizes CDR as the preliminary input for the initial layer, and analyticalresults from consecutive layers are added to the knowledge-base to be used inthe subsequent layers to explore more detailed social features. Each subsequentlayer uses the results from previous layers, facilitating the discovery of morein-depth social features not predictable in a single-layered approach usingonly raw CDR. This model starts with exploring aggregated overviews of thesocial features and gradually focuses on comprehensive details of socialrelationships and groups, which facilitates a novel approach for investigatingCDR datasets for the progressive exploration of social features in adensely-populated city.

A Hierarchical Approach for Investigating Social Features of a City from Mobile Phone Call Detail Records