activity
20192021
most citedThe human brain's network architecture is genetically encoded by modular pleiotropy

17 citations · 20 across the 5 of their papers we have counts for

collaborators

6 papers

q-bio.QM2021

Variability in higher order structure of noise added to weighted networks

Ann S. Blevins, Jason Z. Kim, Danielle S. Bassett

From spiking activity in neuronal networks to force chains in granular materials, the behavior of many real-world systems depends on a network of both strong and weak interactions.…

q-bio.NC2021★ 1 cited

The growing topology of the C. elegans connectome

Alec Helm, Ann S. Blevins, Danielle S. Bassett

Probing the developing neural circuitry in Caenorhabditis elegans has enhanced our understanding of nervous systems. The C. elegans connectome, like those of other species, is char…

cs.DL2020★ 2 cited

The network structure of scientific revolutions

Harang Ju, Dale Zhou, Ann S. Blevins +4

Philosophers of science have long postulated how collective scientific knowledge grows. Empirical validation has been challenging due to limitations in collecting and systematizing…

q-bio.NC2020

How We Learn About our Networked World

Sophia U. David, Sophie E. Loman, Christopher W. Lynn +2

When presented with information of any type, from music to language to mathematics, the human mind subconsciously arranges it into a network. A network puts pieces of information l…

cs.SI2020

The why, how, and when of representations for complex systems

Leo Torres, Ann S. Blevins, Danielle S. Bassett +1

Complex systems thinking is applied to a wide variety of domains, from neuroscience to computer science and economics. The wide variety of implementations has resulted in two key c…

q-bio.NC2019★ 17 cited

The human brain's network architecture is genetically encoded by modular pleiotropy

Maxwell A. Bertolero, Ann Sizemore Blevins, Graham L. Baum +5

For much of biology, the manner in which genotype maps to phenotype remains a fundamental mystery. The few maps that are known tend to show modular pleiotropy: sets of phenotypes a…