Keyword

random Boolean networks

Description: Random Boolean networks are mathematical models of interconnected nodes with binary states and randomly assigned rules, used to study complex system dynamics.

Primary topic: Cellular Automata and Applications (32%)

OpenAlex ID: keywords/random-boolean-networks

Random Networks of Automata: A Simple Annealed Approximation

1986 · B Derrida, Y Pomeau · Europhysics Letters (EPL) · 705

PDF

Activities and Sensitivities in Boolean Network Models

2004 · Ilya Shmulevich, Stuart A. Kauffman · Physical Review Letters · 279

Superpolynomial Growth in the Number of Attractors in Kauffman Networks

2003 · Björn Samuelsson, Carl Troein · Physical Review Letters · 252

Number and Length of Attractors in a Critical Kauffman Model with Connectivity One

2005 · Barbara Drossel, Tamara Mihaljev, et al. · Physical Review Letters · 240

PDF

Phase Transitions in Two-Dimensional Kauffman Cellular Automata

1986 · B Derrida, D Stauffer · Europhysics Letters (EPL) · 213

A SAT-Based Algorithm for Finding Attractors in Synchronous Boolean Networks

2011 · E. Dubrova, M. Teslenko · IEEE Transactions on Computational Biology and Bioinformatics · 186

Scaling in Ordered and Critical Random Boolean Networks

2003 · J. E. S. Socolar, S. A. Kauffman · Physical Review Letters · 182

PDF

Complexity and information: Measuring emergence, self‐organization, and homeostasis at multiple scales

2012 · Carlos Gershenson, Nelson Fernández · Complexity · 178

PDF

Evolution of overlaps between configurations in random Boolean networks

1986 · B. Derrida, G. Weisbuch · Journal de physique · 177

Genetic network models and statistical properties of gene expression data in knock-out experiments

2004 · R. Serra, M. Villani, et al. · Journal of Theoretical Biology · 167

Requirements for evolvability in complex systems: Orderly dynamics and frozen components

1990 · Stuart A. Kauffman · Physica D Nonlinear Phenomena · 158

An effective network reduction approach to find the dynamical repertoire of discrete dynamic networks

2013 · Jorge G. T. Zañudo, Réka Albert · Chaos An Interdisciplinary Journal of Nonlinear Science · 153

PDF

Why a simple model of genetic regulatory networks describes the distribution of avalanches in gene expression data

2007 · R. Serra, M. Villani, et al. · Journal of Theoretical Biology · 146

Stability of the Kauffman model

2001 · Sven Bilke, Fredrik Sjunnesson · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · 141

PDF

Genomic regulation modeled as a network with basins of attraction.

1998 · A Wuensche · PubMed · 134

Classification of Random Boolean Networks

2002 · Gershenson, Carlos · arXiv (Cornell University) · 133

PDF

Random Boolean Networks

2008 · Barbara Drossel · 132

A proposal for using the ensemble approach to understand genetic regulatory networks

2004 · Stuart Kauffman · Journal of Theoretical Biology · 130

Introduction to Random Boolean Networks

2004 · Gershenson, Carlos · arXiv (Cornell University) · 124

PDF

Relating Fisher information to order parameters

2011 · Mikhail Prokopenko, Joseph T. Lizier, et al. · Physical Review E · 119

Criticality Distinguishes the Ensemble of Biological Regulatory Networks

2018 · Bryan C. Daniels, Hyunju Kim, et al. · Physical Review Letters · 111

PDF

On the dynamics of random Boolean networks subject to noise: Attractors, ergodic sets and cell types

2010 · R. Serra, M. Villani, et al. · Journal of Theoretical Biology · 108

Relevant elements, magnetization and dynamical properties in Kauffman networks: A numerical study

1998 · U. Bastolla, G. Parisi · Physica D Nonlinear Phenomena · 107

PDF

Mutual information in random Boolean models of regulatory networks

2008 · Andre S. Ribeiro, Stuart A. Kauffman, et al. · Physical Review E · 104

PDF

From topology to dynamics in biochemical networks

2001 · Jeffrey J. Fox, Colin C. Hill · Chaos An Interdisciplinary Journal of Nonlinear Science · 102

Works count: 648

Citation count: 9,758