Symmetry in critical random Boolean network dynamics.
Using Boolean networks as prototypical examples, the role of symmetry in the dynamics of heterogeneous complex systems is explored. We show that symmetry of the dynamics, especially in critical states, is a controlling feature that can be used both to greatly simplify analysis and to characterize different types of dynamics. Symmetry in Boolean networks is found by determining the frequency at which the various Boolean output functions occur. There are classes of functions that consist of Boolean functions that behave similarly. These classes are orbits of the controlling symmetry group. We find that the symmetry that controls the critical random Boolean networks is expressed through the frequency by which output functions are utilized by nodes that remain active on dynamical attractors. This symmetry preserves canalization, a form of network robustness. We compare it to a different symmetry known to control the dynamics of an evolutionary process that allows Boolean networks to organize into a critical state. Our results demonstrate the usefulness and power of using the symmetry of the behavior of the nodes to characterize complex network dynamics, and introduce an alternative approach to the analysis of heterogeneous complex systems.
Department of Physics, University of Houston, Houston, Texas 77204-5005, USA and Texas Center for Superconductivity, University of Houston, Houston, Texas 77204-5002, USA.
Shabnam
S
Hossein
Department of Physics, University of Houston, Houston, Texas 77204-5005, USA and Texas Center for Superconductivity, University of Houston, Houston, Texas 77204-5002, USA.
Matthew D
MD
Reichl
Department of Physics, University of Houston, Houston, Texas 77204-5005, USA and Texas Center for Superconductivity, University of Houston, Houston, Texas 77204-5002, USA and Max Planck Institute for the Physics of Complex Systems, Nöthnitzer Straße 38, Dresden D-01187, Germany.
Kevin E
KE
Bassler