Signal propagation in complex networks drives epidemics, is responsible for information
going viral, promotes trust and facilitates moral behavior in social groups, enables the …

High-throughput technologies have revolutionized medical research. The advent of
genoty** arrays enabled large-scale genome-wide association studies and methods for …

Given the functional interdependencies between the molecular components in a human cell,
a disease is rarely a consequence of an abnormality in a single gene, but reflects the …

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

Real networks exhibit heterogeneous nature with nodes playing far different roles in
structure and function. To identify vital nodes is thus very significant, allowing us to control …

We propose and study a set of algorithms for discovering community structure in networks—
natural divisions of network nodes into densely connected subgroups. Our algorithms all …

The study of networks pervades all of science, from neurobiology to statistical physics. The
most basic issues are structural: how does one characterize the wiring diagram of a food …

Inspired by empirical studies of networked systems such as the Internet, social networks,
and biological networks, researchers have in recent years developed a variety of techniques …

The most influential book of the past seventy-five years: a groundbreaking exploration of
everything we know about what we don't know, now with a new section called “On …

Many complex systems display a surprising degree of tolerance against errors. For example,
relatively simple organisms grow, persist and reproduce despite drastic pharmaceutical or …