NETWORK AUTOMATA: COUPLING STRUCTURE AND FUNCTION IN DYNAMIC NETWORKS

David M. D. Smith (), Jukka-Pekka Onnela, Chiu Fan Lee, Mark D. Fricker and Neil F. Johnson
Additional contact information
David M. D. Smith: Centre for Mathematical Biology, Oxford University, Oxford OX1 3LB, UK;
Jukka-Pekka Onnela: Department of Biomedical Engineering and Computational Science, Helsinki University of Technology, P.O. Box 9203, FIN-02015 HUT, Finland;
Chiu Fan Lee: Max Planck Institute for the Physics of Complex Systems, Noethnitzer Str. 38, 01187 Dresden, Germany
Mark D. Fricker: Department of Plant Sciences, University of Oxford, Oxford, OX1 3RB, UK
Neil F. Johnson: Physics Department, University of Miami, Coral Gables, Florida FL 33124, USA

Advances in Complex Systems (ACS), 2011, vol. 14, issue 03, 317-339

Abstract: We introduce Network Automata, a framework which couples the topological evolution of a network to its structure. To demonstrate its implementation we describe a simple model which exhibits behavior similar to the "Game of Life" before recasting some simple, well-known network models as Network Automata. We then introduce Functional Network Automata which are useful for dealing with networks in which the topology evolves according to some specified microscopic rules and, simultaneously, there is a dynamic process taking place on the network that both depends on its structure but is also capable of modifying it. It is a generic framework for modeling systems in which network structure, dynamics, and function are interrelated. At the practical level, this framework allows for precise, unambiguous implementation of the microscopic rules involved in such systems. To demonstrate the approach, we develop a family of simple biologically inspired models of fungal growth.

Keywords: Complex system; functional; dynamic networks; computer simulation; integrative biology; 89.75.Fb; 87.15.A-; 87.85.Xd (search for similar items in EconPapers)
Date: 2011
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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DOI: 10.1142/S0219525911003050

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