1 code implementation • 11 Jan 2021 • Ann S. Blevins, Jason Z. Kim, Danielle S. Bassett
We address this problem by examining the higher-order structure of noisy, weak edges added to model networks.
no code implementations • 31 Dec 2020 • Alec Helm, Ann S. Blevins, Danielle S. Bassett
Our results suggest that the connectomes growing topology is a robust feature of the developing connectome that is distinct from other network properties, and that the growing topology is particularly sensitive to the exact birth times of a small set of predominantly motor neurons.
1 code implementation • 16 Oct 2020 • Harang Ju, Dale Zhou, Ann S. Blevins, David M. Lydon-Staley, Judith Kaplan, Julio R. Tuma, Danielle S. Bassett
Philosophers of science have long postulated how collective scientific knowledge grows.
Digital Libraries History and Philosophy of Physics
no code implementations • 4 Jun 2020 • Leo Torres, Ann S. Blevins, Danielle S. Bassett, Tina Eliassi-Rad
At each step we consider different types of \emph{dependencies}; these are properties of the system that describe how the existence of one relation among the parts of a system may influence the existence of another relation.
Social and Information Networks Discrete Mathematics Quantitative Methods 68R10