… storage, and methods for analyzing user mobility. This paper introduces a mobility analytical
framework for big mobile data based on real data traffic collected from 2G/3G/4G networks …

… lens of Big Data? In this paper, we design a data-driven analytical framework that uses mobility
… We collect data on population density (PD) and two socio-economic indicators: per capita …

… mobile phone dataset. In analyzing human mobility patterns, passively generated mobile
phone data … at the area level, for example, comparing population density calculated from the …

… are heavily influenced by the tall buildings in cities and thus can … two synthetic mobility models:
In RWP model [34], the mobile … mobility models for performance analysis in tactical mobile …

… A typical requirement of analytics over mobile big data is that the location-based and highly
… Such interest is further enhanced by the aforementioned high predictability of human mobility …

… , Smart Mobility is highly related to spatial analysis of … individual are mined from mobile data,
whilst relationships among the … approaches could data-driven analysis of human mobility be …

… of a huge amount of crowd mobility and their socialized … Case studies on a real citywide
mobile phone data set demonstrate … regions (c)–(g) are all peripheral densely populated county …

… illustrates the workflow of the proposed analytical framework. … increasing availability of big
human tracking data, this paper … in highly connected urban areas occupies a larger number of …

… development and increasing population density in cities. To … : data management, application
run-time, Wireless Sensor … analysis, historical data analysis, mobility, iterative processing, …

… This paper presents a big-data-driven analytical framework … highly contagious diseases. To
fill these important research gaps, a … On the contrary, using mobile device location data, our …