Reconstructing the structure of directed and weighted networks of nonlinear oscillators

Francesco Alderisio; Gianfranco Fiore; Mario Di Bernardo

doi:10.1103/PhysRevE.95.042302

Reconstructing the structure of directed and weighted networks of nonlinear oscillators

Francesco Alderisio, Gianfranco Fiore, Mario Di Bernardo

Bristol Doctoral College

Research output: Contribution to journal › Article (Academic Journal) › peer-review

20 Citations (Scopus)

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Abstract

The formalism of complex networks is extensively employed to describe the dynamics of interacting agents in several applications. The features of the connections among the nodes in a network are not always provided beforehand, hence the problem of appropriately inferring them often arises. Here, we present a method to reconstruct directed and weighted topologies of networks of heterogeneous nonlinear oscillators. We illustrate the theory on a set of representative examples.

Original language	English
Article number	042302
Number of pages	6
Journal	Physical Review E
Volume	95
Issue number	4
Early online date	5 Apr 2017
DOIs	https://doi.org/10.1103/PhysRevE.95.042302
Publication status	Published - Apr 2017

Research Groups and Themes

Engineering Mathematics Research Group
Bristol BioDesign Institute

Keywords

synthetic biology

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10.1103/PhysRevE.95.042302

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This is the author accepted manuscript (AAM). The final published version (version of record) is available online via APS at https://journals.aps.org/pre/abstract/10.1103/PhysRevE.95.042302. Please refer to any applicable terms of use of the publisher.
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This is the author accepted manuscript (AAM). The final published version (version of record) is available online via APS at https://journals.aps.org/pre/abstract/10.1103/PhysRevE.95.042302. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 2.39 MB

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AU - Di Bernardo, Mario

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AB - The formalism of complex networks is extensively employed to describe the dynamics of interacting agents in several applications. The features of the connections among the nodes in a network are not always provided beforehand, hence the problem of appropriately inferring them often arises. Here, we present a method to reconstruct directed and weighted topologies of networks of heterogeneous nonlinear oscillators. We illustrate the theory on a set of representative examples.

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JO - Physical Review E

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Reconstructing the structure of directed and weighted networks of nonlinear oscillators

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