collaborators

5 papers

physics.soc-ph2026

Giant strongly biconnected components of directed networks: a generating function approach

Minsoo Yang, Reinhard Laubenbacher, Byungjoon Min

Strongly connected components (SCCs) characterize modular structure in directed networks but are fragile to single node failures. We study strongly biconnected components (SBCs), w…

q-bio.QM2026

Dynamics Decomposition of Boolean Networks: An algebraic foundation

Alan Veliz-Cuba, Claus Kadelka, David Murrugarra +4

Understanding the dynamics of Boolean networks is central to problems such as network reduction, design, control, and reverse engineering. As Boolean network models continue to gro…

q-bio.MN2025

Upper bound for the stability of Boolean networks

Venkata Sai Narayana Bavisetty, Matthew Wheeler, Reinhard Laubenbacher +1

Boolean networks, inspired by gene regulatory networks, were developed to understand the complex behaviors observed in biological systems, with network attractors corresponding to…

q-bio.MN2025

Dynamics of attractor transitions in Boolean networks under noise

Byungjoon Min, Jeehye Choi, Reinhard Laubenbacher

Biological systems operate under persistent noise, which can alter system states and induce transitions between attractors. Here, we study the attractor dynamics of Boolean network…

math.DS2025

Categorical foundations of discrete dynamical systems

Daniel Carranza, Chris Kapulkin, Nathan Kershaw +2

We develop categorical foundations of discrete dynamical systems, aimed at understanding how the structure of the system affects its dynamics. We introduce the notion of cycle sets…