In this paper, we review some advances made recently in the study of mobile phone
datasets. This area of research has emerged a decade ago, with the increasing availability …

A relationship between people's mobility and their social networks is presented based on an
analysis of calling and mobility traces for one year of anonymized call detail records of over …

The study of urban spatial structure is currently one of the most popular research fields in
urban geography. This study uses Lanzhou, one of the major cities in Northwest China, as a …

This paper presents a new method to establish a ranking of nodes in an urban network. In
the original PageRank algorithm, a single PageRank vector is computed to determine the …

Nations worldwide are mobilizing to harness the power of Artificial Intelligence (AI) given its
massive potential to shape global competitiveness over the coming decades. Using a …

A longitudinal mobile phone data that include both location and communication logs is
analyzed to infer social influence in terms of ego-network effect in the commute mode …

Detecting intensely connected sub-networks, or communities, from social networks has
attracted much attention in social network studies. The widespread use of location …

A fundamental aspect of well performing cities is successful public spaces. For centuries,
understanding these places has been limited to sporadic observations and laborious data …

Human dynamics are inextricably intertwined with the social, geographical and economic
environment. The continuous flux of people communicating as well as migrating, commuting …

We analyse two large-scale intra-city urban networks and traffic flows therein measured by
GPS traces of taxis in San Francisco and Shanghai. Our results coincide with previous …