Signal propagation in complex networks drives epidemics, is responsible for information
going viral, promotes trust and facilitates moral behavior in social groups, enables the …

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 …

The ongoing rapid expansion of the Word Wide Web (WWW) greatly increases the
information of effective transmission from heterogeneous individuals to various systems …

The availability of massive digital traces of human whereabouts has offered a series of novel
insights on the quantitative patterns characterizing human mobility. In particular, numerous …

A range of applications, from predicting the spread of human and electronic viruses to city
planning and resource management in mobile communications, depend on our ability to …

Understanding human mobility is crucial for a broad range of applications from disease
prediction to communication networks. Most efforts on studying human mobility have so far …

Since the first case of the novel coronavirus disease (COVID-19) was confirmed in Wuhan,
China, social distancing has been promoted worldwide, including in the United States, as a …

Large-scale urban sensing data such as mobile phone traces are emerging as an important
data source for urban modeling. This study represents a first step towards building a …

Complex systems are very often organized under the form of networks where nodes and
edges are embedded in space. Transportation and mobility networks, Internet, mobile phone …

Individual human trajectories are characterized by fat-tailed distributions of jump sizes and
waiting times, suggesting the relevance of continuous-time random-walk (CTRW) models for …