There is a long tradition of using mathematical models to generate insights into the
transmission dynamics of infectious diseases and assess the potential impact of different …

Coupled biological and chemical systems, neural networks, social interacting species, the
Internet and the World Wide Web, are only a few examples of systems composed by a large …

For epidemiologists, evolutionary biologists, and health-care professionals, real-time and
predictive modeling of infectious disease is of growing importance. This book provides a …

Networks and the epidemiology of directly transmitted infectious diseases are fundamentally
linked. The foundations of epidemiology and early epidemiological models were based on …

The science of networks has revolutionised research into the dynamics of interacting
elements. It could be argued that epidemiology in particular has embraced the potential of …

Network models are widely used to represent relations between interacting units or actors.
Network data often exhibit transitivity, meaning that two actors that have ties to a third actor …

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 …

Background The structure of sexual contact networks plays a key role in the epidemiology of
sexually transmitted infections, and their reconstruction from interview data has provided …

Characterizing the relationship that exists between a person's social group and his/her
personal behavior has been a long standing goal of social network analysts. In this paper …

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 …