arXiv · 1112.1728
Small-world spectra in mean field theory
Abstract
Collective dynamics on small-world networks emerge in a broad range of systems with their spectra characterizing fundamental asymptotic features. Here we derive analytic mean field predictions for the spectra of small-world models that systematically interpolate between regular and random topologies by varying their randomness. These theoretical predictions agree well with the actual spectra (obtained by numerical diagonalization) for undirected and directed networks and from fully regular to strongly random topologies. These results may provide analytical insights to empirically found features of dynamics on small-world networks from various research fields, including biology, physics, engineering and social science.
Explore related subjects
Keep this discovery
Carsten Grabow, Stefan Grosskinsky, Marc Timme. 2011-12-07. Small-world spectra in mean field theory. https://doi.org/10.1103/physrevlett.108.218701
Cite the original work for its findings. Save a collection to share your selection of sources.