Our papers are the official record of our discoveries. They allow others to build on and apply our work. Each paper is the result of many months of research, so we make a special effort to make them clear, beautiful and inspirational, and publish them in leading journals.
Naturally occurring networks have an underlying scale-free structure that is often clouded by finite-size effects in the sample data.
A local model of preferential attachment with short-term memory generates scale-free networks, which can be readily computed by memristors.
Spectral analysis shows that disassortative networks exhibit a higher epidemiological threshold and are therefore easier to immunize.