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20212026
most citedStructure-based approach to identifying small sets of driver nodes in biological networks

18 citations · 26 across the 5 of their papers we have counts for

collaborators

6 papers

cond-mat.stat-mech2026

Encoding Hyperuniformity in Geometric Networks: Structural Signatures and Diffusion Dynamics

Yongyi Wang, Eli Newby, Yang Jiao +2

Disordered hyperuniformity is a recently discovered exotic state exhibiting anomalously suppressed density fluctuations at long wavelengths, and its generalization to network syste…

cond-mat.stat-mech2025

From point patterns to networks: to what extent does the Delaunay triangulation reproduce key spatial and density information?

Eli Newby, Wenlong Shi, Yang Jiao +2

It is important that a spatial network's construction algorithm reproduces the structural properties of the original physical embedding. Here, we assess the Delaunay triangulation…

cond-mat.stat-mech2024

Structural Properties of Hyperuniform Networks

Eli Newby, Wenlong Shi, Yang Jiao +2

Disordered hyperuniform many-particle systems are recently discovered exotic states of matter, characterized by a complete suppression of normalized infinite-wavelength density flu…

q-bio.MN2023★ 2 cited

Boolean Networks as Predictive Models of Emergent Biological Behaviors

Jordan C. Rozum, Colin Campbell, Eli Newby +2

Interacting biological systems at all organizational levels display emergent behavior. Modeling these systems is made challenging by the number and variety of biological components…

q-bio.QM2023★ 6 cited

Structure-based approach can identify driver nodes in ensembles of biologically-inspired Boolean networks

Eli Newby, Jorge Gómez Tejeda Zañudo, Réka Albert

Because the attractors of biological networks reflect stable behaviors (e.g., cell phenotypes), identifying control interventions that can drive a system towards its attractors (at…

q-bio.QM2021★ 18 cited

Structure-based approach to identifying small sets of driver nodes in biological networks

Eli Newby, Jorge Gómez Tejda Zañudo, Réka Albert

In network control theory, driving all the nodes in the Feedback Vertex Set (FVS) forces the network into one of its attractors (long-term dynamic behaviors). The FVS is often comp…