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Synchronization in time-varying random networks with vanishing connectivity
A sufficiently connected topology linking the constituent units of a complex system is usually seen as a prerequisite for the emergence of collective phenomena such as synchronization. We present a random network of heterogeneous phase oscillators in which the links mediating the interactions are co...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6629696/ https://www.ncbi.nlm.nih.gov/pubmed/31308391 http://dx.doi.org/10.1038/s41598-019-46345-y |
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author | Faggian, Marco Ginelli, Francesco Rosas, Fernando Levnajić, Zoran |
author_facet | Faggian, Marco Ginelli, Francesco Rosas, Fernando Levnajić, Zoran |
author_sort | Faggian, Marco |
collection | PubMed |
description | A sufficiently connected topology linking the constituent units of a complex system is usually seen as a prerequisite for the emergence of collective phenomena such as synchronization. We present a random network of heterogeneous phase oscillators in which the links mediating the interactions are constantly rearranged with a characteristic timescale and, possibly, an extremely low instantaneous connectivity. We show that with strong coupling and sufficiently fast rewiring the network reaches partial synchronization even in the vanishing connectivity limit. In particular, we provide an approximate analytical argument, based on the comparison between the different characteristic timescales of our system in the low connectivity regime, which is able to predict the transition to synchronization threshold with satisfactory precision beyond the formal fast rewiring limit. We interpret our results as a qualitative mechanism for emergence of consensus in social communities. In particular, our result suggest that groups of individuals are capable of aligning their opinions under extremely sparse exchanges of views, which is reminiscent of fast communications that take place in the modern social media. Our results may also be relevant to characterize the onset of collective behavior in engineered systems of mobile units with limited wireless capabilities. |
format | Online Article Text |
id | pubmed-6629696 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66296962019-07-23 Synchronization in time-varying random networks with vanishing connectivity Faggian, Marco Ginelli, Francesco Rosas, Fernando Levnajić, Zoran Sci Rep Article A sufficiently connected topology linking the constituent units of a complex system is usually seen as a prerequisite for the emergence of collective phenomena such as synchronization. We present a random network of heterogeneous phase oscillators in which the links mediating the interactions are constantly rearranged with a characteristic timescale and, possibly, an extremely low instantaneous connectivity. We show that with strong coupling and sufficiently fast rewiring the network reaches partial synchronization even in the vanishing connectivity limit. In particular, we provide an approximate analytical argument, based on the comparison between the different characteristic timescales of our system in the low connectivity regime, which is able to predict the transition to synchronization threshold with satisfactory precision beyond the formal fast rewiring limit. We interpret our results as a qualitative mechanism for emergence of consensus in social communities. In particular, our result suggest that groups of individuals are capable of aligning their opinions under extremely sparse exchanges of views, which is reminiscent of fast communications that take place in the modern social media. Our results may also be relevant to characterize the onset of collective behavior in engineered systems of mobile units with limited wireless capabilities. Nature Publishing Group UK 2019-07-15 /pmc/articles/PMC6629696/ /pubmed/31308391 http://dx.doi.org/10.1038/s41598-019-46345-y Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Faggian, Marco Ginelli, Francesco Rosas, Fernando Levnajić, Zoran Synchronization in time-varying random networks with vanishing connectivity |
title | Synchronization in time-varying random networks with vanishing connectivity |
title_full | Synchronization in time-varying random networks with vanishing connectivity |
title_fullStr | Synchronization in time-varying random networks with vanishing connectivity |
title_full_unstemmed | Synchronization in time-varying random networks with vanishing connectivity |
title_short | Synchronization in time-varying random networks with vanishing connectivity |
title_sort | synchronization in time-varying random networks with vanishing connectivity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6629696/ https://www.ncbi.nlm.nih.gov/pubmed/31308391 http://dx.doi.org/10.1038/s41598-019-46345-y |
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