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 …

Historically, infectious diseases caused considerable damage to human societies, and they
continue to do so today. To help reduce their impact, mathematical models of disease …

A network is a collection of nodes and edges, where an edge connects two nodes. Many
social, natural and engineered systems can be represented as networks. Examples include …

Background: Groups and individuals that seek to negatively influence public opinion about
the safety and value of vaccination are active in online and social media and may influence …

Bursty dynamics is a common temporal property of various complex systems in nature but it
also characterises the dynamics of human actions and interactions. At the …

Social networks mediate the spread of information and disease. The dynamics of spreading
depends, among other factors, on the distribution of times between successive contacts in …

In this introductory chapter, we start by briefly summarising temporal and adaptive networks,
and epidemic process models frequently used in this volume. Then, we introduce a couple …

Stochastic simulations are one of the cornerstones of the analysis of dynamical processes
on complex networks, and are often the only accessible way to explore their behavior. The …

Network science investigates the architecture of complex systems to understand their
functional and dynamical properties. Structural patterns such as communities shape …

Big Data on electronic records of social interactions allow approaching human behaviour
and sociality from a quantitative point of view with unforeseen statistical power. Mobile …