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 …

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 …

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 …

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 …

Stochastic actor-based models are models for network dynamics that can represent a wide
variety of influences on network change, and allow to estimate parameters expressing such …

The aim of these Notes is to increase the reader's understanding of the spread of infectious
diseases using mathematics, and in particular stochastic methods. Needless to say …

Networks are ubiquitous in science and have become a focal point for discussion in
everyday life. Formal statistical models for the analysis of network data have emerged as a …

Social sequence analysis includes a diverse and rapidly growing body of methods that
social scientists have developed to help study complex ordered social processes, including …

The relationship between social networks and health encompasses everything from the flow
of pathogens and information to the diffusion of beliefs and behaviors. This review …