Efficient communication over complex dynamical networks: The role of matrix non-normality-Reference-Cited by-同舟云学术

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Efficient communication over complex dynamical networks: The role of matrix non-normality

Published:2020-05-29 Issue:22 Volume:6 Page:
ISSN:2375-2548
Container-title:Science Advances
language:en
Short-container-title:Sci. Adv.

Author:

Baggio Giacomo¹^ORCID,Rutten Virginia²³,Hennequin Guillaume⁴^ORCID,Zampieri Sandro¹^ORCID

Affiliation:

1. Department of Information Engineering, University of Padova, via Gradenigo, 6/B I-35131 Padova, Italy.

2. Gatsby Computational Neuroscience Unit, University College London, London W1T 4JG, UK.

3. Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA.

4. Computational and Biological Learning Lab, Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, UK.

Abstract

Non-normal networks efficiently spread information in the face of interference between successive transmissions and readout noise.

Funder

Howard Hughes Medical Institute

Wellcome Trust Seed Award

MIUR

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference56 articles.

1. Information diffusion in online social networks

2. Information Spread and Topic Diffusion in Heterogeneous Information Networks

3. C. Decker R. Wattenhofer Information propagation in the Bitcoin network in Proceedings of the 2013 IEEE Thirteenth International Conference on Peer-to-Peer Computing (P2P) (2013) pp. 1–10.

4. Information Transduction Capacity of Noisy Biochemical Signaling Networks

5. Accurate information transmission through dynamic biochemical signaling networks

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