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      A universal route to explosive phenomena

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          Abstract

          The emergence of discontinuous critical transitions can typically be expected when an additional feature is added to a system.

          Abstract

          Critical transitions are observed in many complex systems. This includes the onset of synchronization in a network of coupled oscillators or the emergence of an epidemic state within a population. “Explosive” first-order transitions have caught particular attention in a variety of systems when classical models are generalized by incorporating additional effects. Here, we give a mathematical argument that the emergence of these first-order transitions is not surprising but rather a universally expected effect: Varying a classical model along a generic two-parameter family must lead to a change of the criticality. To illustrate our framework, we give three explicit examples of the effect in distinct physical systems: a model of adaptive epidemic dynamics, for a generalization of the Kuramoto model, and for a percolation transition.

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          Most cited references40

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          Epidemic Spreading in Scale-Free Networks

          The Internet has a very complex connectivity recently modeled by the class of scale-free networks. This feature, which appears to be very efficient for a communications network, favors at the same time the spreading of computer viruses. We analyze real data from computer virus infections and find the average lifetime and persistence of viral strains on the Internet. We define a dynamical model for the spreading of infections on scale-free networks, finding the absence of an epidemic threshold and its associated critical behavior. This new epidemiological framework rationalizes data of computer viruses and could help in the understanding of other spreading phenomena on communication and social networks.
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            From Kuramoto to Crawford: exploring the onset of synchronization in populations of coupled oscillators

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              Epidemic processes in complex networks

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                Author and article information

                Journal
                Sci Adv
                Sci Adv
                SciAdv
                advances
                Science Advances
                American Association for the Advancement of Science
                2375-2548
                April 2021
                16 April 2021
                : 7
                : 16
                : eabe3824
                Affiliations
                [1 ]Faculty of Mathematics, Technical University of Munich, Garching, Germany.
                [2 ]Complexity Science Hub Vienna, Vienna, Austria.
                [3 ]Department of Mathematics, University of Exeter, Exeter, UK.
                [4 ]Department of Mathematics, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
                [5 ]Institute for Advanced Study, Technical University of Munich, Garching, Germany.
                [6 ]Mathematical Institute, University of Oxford, Oxford, UK.
                Author notes
                [* ]Corresponding author. Email: c.bick@ 123456vu.nl
                Author information
                http://orcid.org/0000-0002-7063-6173
                http://orcid.org/0000-0002-5238-1146
                Article
                abe3824
                10.1126/sciadv.abe3824
                8051866
                33863722
                f1e207b8-0948-42e6-9d9f-2f0fd32572cb
                Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY).

                This is an open-access article distributed under the terms of the Creative Commons Attribution license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 18 August 2020
                : 25 February 2021
                Funding
                Funded by: doi http://dx.doi.org/10.13039/501100000266, Engineering and Physical Sciences Research Council;
                Award ID: EP/T013613/1
                Funded by: doi http://dx.doi.org/10.13039/501100000780, European Commission;
                Award ID: 820970
                Categories
                Research Article
                Research Articles
                SciAdv r-articles
                Mathematics
                Network Science
                Network Science
                Custom metadata
                Nielsen Marquez

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