Models of networks play a major role in explaining and reproducing empirically observed patterns. Suitable models can be used to randomize an observed network while preserving some of its features, or ...

Complex network theory provides a unifying mathematical framework for analysing systems of interacting components, representing elements as nodes and their relationships as edges. Key structural ...

The prolific researcher found deep connections between randomness and computation and spent a career influencing cryptographers, complexity researchers and more. For more than 40 years, Avi Wigderson ...