activity
20162020
most citedFibration symmetries uncover the building blocks of biological networks

48 citations · 71 across the 3 of their papers we have counts for

collaborators

9 papers

q-bio.GN202023 cited

Circuits with broken fibration symmetries perform core logic computations in biological networks

Ian Leifer, Flaviano Morone, Saulo D. S. Reis +3

We show that logic computational circuits in gene regulatory networks arise from a fibration symmetry breaking in the network structure. From this idea we implement a constructive…

q-bio.MN202048 cited

Fibration symmetries uncover the building blocks of biological networks

Flaviano Morone, Ian Leifer, Hernan A. Makse

A major ambition of systems science is to uncover the building blocks of any biological network to decipher how cellular function emerges from their interactions. Here, we introduc…

physics.soc-ph2019

Influencer identification in dynamical complex systems

Sen Pei, Jiannan Wang, Flaviano Morone +1

The integrity and functionality of many real-world complex systems hinge on a small set of pivotal nodes, or influencers. In different contexts, these influencers are defined as ei…

cond-mat.dis-nn2019

Symmetry group factorization reveals the structure-function relation in the neural connectome of Caenorhabditis elegans

Flaviano Morone, Hernan A. Makse

The neural connectome of the nematode Caenorhabditis elegans has been completely mapped, yet in spite of being one of the smallest connectomes (302 neurons), the design principles…

nlin.AO2018

The k-core as a predictor of structural collapse in mutualistic ecosystems

Flaviano Morone, Gino Del Ferraro, Hernán A. Makse

Collapses of dynamical systems into irrecoverable states are observed in ecosystems, human societies, financial systems and network infrastructures. Despite their widespread occurr…

q-bio.NC2018

Finding influential nodes for integration in brain networks using optimal percolation theory

Gino Del Ferraro, Andrea Moreno, Byungjoon Min +7

Global integration of information in the brain results from complex interactions of segregated brain networks. Identifying the most influential neuronal populations that efficientl…