The power of any kind of network approach lies in the ability to simplify a complex system so
that one can better understand its function as a whole. Sometimes it is beneficial, however …

A great variety of systems in nature, society and technology–from the web of sexual contacts
to the Internet, from the nervous system to power grids–can be modeled as graphs of …

Temporal graphs are widely used to model dynamic systems with time-varying interactions.
In real-world scenarios, the underlying mechanisms of generating future interactions in …

The time variation of contacts in a networked system may fundamentally alter the properties
of spreading processes and affect the condition for large-scale propagation, as encoded in …

In most social and information systems the activity of agents generates rapidly evolving time-
varying networks. The temporal variation in networks' connectivity patterns and the ongoing …

Reaction–diffusion processes have been widely used to study dynamical processes in
epidemics,–and ecology in networked metapopulations. In the context of epidemics, reaction …

Infectious diseases can be considered to spread over social networks of people or animals.
Mainly owing to the development of data recording and analysis techniques, an increasing …

Many natural and artificial networks evolve in time. Nodes and connections appear and
disappear at various time scales, and their dynamics has profound consequences for any …

The vast majority of strategies aimed at controlling contagion processes on networks
consider the connectivity pattern of the system either quenched or annealed. However, in …

This handbook explains how to model epidemiological problems and improve inference
about disease etiology from a geographical perspective. Top epidemiologists, geographers …