The constituents of many complex systems are characterized by non-trivial connectivity
patterns and dynamical processes that are well captured by network models. However, most …

Well-being is an important value for people's lives, and it could be considered as an index of
societal progress. Researchers have suggested two main approaches for the overall …

Despite the success of traditional network analysis, standard networks provide a limited
representation of complex systems, which often include different types of relationships (or …

Studies of human mobility in the past decade revealed a number of general scaling laws.
However, to reproduce the scaling behaviors quantitatively at both the individual and …

Background The coronavirus disease (COVID-19) has posed an unprecedented challenge
to governments worldwide. Effective government communication of COVID-19 information …

We propose a theoretical framework for the study of spreading processes in structured
metapopulations, with heterogeneous agents, subjected to different recurrent mobility …

Abstract Introduction Emergency Medical Services (EMS) are expected to be affected by a
pandemic outbreak. However, the available data about trends and extents of these effects is …

Emergency management (EM) has always been a concern of people from all walks of life
due to the devastating impacts emergencies can have. The global outbreak of COVID-19 in …

Urban computing is an emerging area of investigation in which researchers study cities
using digital data. Location-Based Social Networks (LBSNs) generate one specific type of …

The pandemic of COVID-19 witnessed a massive infodemic with the public being
bombarded with vast quantities of information. The spreading of neutral and highly accurate …