Antagonistic Phenomena in Network Dynamics
Research output: Contribution to journal › Review article › Contributed › peer-review
Contributors
Abstract
Recent research on the network modeling of complex systems has led to a convenient representation of numerous natural, social, and engineered systems that are now recognized as networks of interacting parts. Such systems can exhibit a wealth of phenomena that not only cannot be anticipated from merely examining their parts, as per the textbook definition of complexity, but also challenge intuition even when considered in the context of what is now known in network science. Here, we review the recent literature on two major classes of such phenomena that have far-reaching implications: (a) antagonistic responses to changes of states or parameters and (b) coexistence of seemingly incongruous behaviors or properties-both deriving from the collective and inherently decentralized nature of the dynamics. They include effects as diverse as negative compressibility in engineered materials, rescue interactions in biological networks, negative resistance in fluid networks, and the Braess paradox occurring across transport and supply networks. They also include remote synchronization, chimera states, and the converse of symmetry breaking in brain, power-grid, and oscillator networks as well as remote control in biological and bioinspired systems. By offering a unified view of these various scenarios, we suggest that they are representative of a yet broader class of unprecedented network phenomena that ought to be revealed and explained by future research.
Details
Original language | English |
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Pages (from-to) | 463-484 |
Number of pages | 22 |
Journal | Annual Review of Condensed Matter Physics |
Volume | 9 |
Publication status | Published - 10 Mar 2018 |
Peer-reviewed | Yes |
External IDs
ORCID | /0000-0002-5956-3137/work/142242436 |
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Keywords
ASJC Scopus subject areas
Keywords
- Braess paradox, Collective behavior, Complex systems, Control, Game theory, More-for-less paradoxes, Nash equilibrium, Network science, Nonlinear dynamics, Price of anarchy, Self-organization, Synchronization