The theory of pattern formation on directed networks

Anno: 2014

Autori: Asllani M., Challenger J. D., Pavone F. S., Sacconi L., Fanelli D.

Affiliazione autori: Dipartimento di Scienza e Alta Tecnologia, University of Insubria, via Valleggio 11, 22100 Como, Italy; Dipartimento di Fisica e Astronomia, University of Florence, INFN and CSDC, Via Sansone 1, Sesto Fiorentino, 50019 Florence, Italy; European Laboratory for Non-linear Spectroscopy, Sesto Fiorentino, 50019 Florence, Italy; National Institute of Optics, National Research Council, 50125 Florence, Italy.

Abstract: Dynamical processes on networks have generated widespread interest in recent years. The theory of pattern formation in reaction-diffusion systems defined on symmetric networks has often been investigated, due to its applications in a wide range of disciplines. Here we extend the theory to the case of directed networks, which are found in a number of different fields, such as neuroscience, computer networks and traffic systems. Owing to the structure of the network Laplacian, the dispersion relation has both real and imaginary parts, at variance with the case for a symmetric, undirected network. The homogeneous fixed point can become unstable due to the topology of the network, resulting in a new class of instabilities, which cannot be induced on undirected graphs. Results from a linear stability analysis allow the instability region to be analytically traced. Numerical simulations show travelling waves, or quasi-stationary patterns, depending on the characteristics of the underlying graph.

Giornale/Rivista: NATURE COMMUNICATIONS

Volume: 5      Da Pagina: 4517-1  A: 4517-9

Maggiori informazioni: The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 604102 (Human Brain Project).
Parole chiavi: Dynamic Pattern; Instability; Model; Systems
DOI: 10.1038/ncomms5517

Citazioni: 123
dati da “WEB OF SCIENCE” (of Thomson Reuters) aggiornati al: 2024-12-22
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