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 …

Professor Barabási's talk described how the tools of network science can help understand
the Web's structure, development and weaknesses. The Web is an information network, in …

Networks form the backbone of many complex systems, ranging from the Internet to human
societies. Accordingly, not only is the range of our interactions limited and thus best …

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 …

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 …

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 …

We investigate the effects of modular and temporal connectivity patterns on epidemic
spreading. To this end, we introduce and analytically characterise a model of time-varying …

Interactions among units in complex systems occur in a specific sequential order, thus
affecting the flow of information, the propagation of diseases, and general dynamical …