Abstract
Abstract
In functionally complex systems, higher order connectivity is often revealed in the underlying geometry of networked units. Furthermore, such systems often show signatures of self-organised criticality, a specific type of non-equilibrium collective behaviour associated with an attractor of internal dynamics with long-range correlations and scale invariance, which ensures the robust functioning of complex systems, such as the brain. Here, we highlight the intertwining of features of higher order geometry and self-organised critical dynamics as a plausible mechanism for the emergence of new properties on a larger scale, representing the central paradigm of the physical notion of complexity. Considering the time-scale of the structural evolution with the known separation of the time-scale in self-organised criticality, i.e., internal dynamics and external driving, we distinguish three classes of geometries that can shape the self-organised dynamics on them differently. We provide an overview of current trends in the study of collective dynamics phenomena, such as the synchronisation of phase oscillators and discrete spin dynamics with higher order couplings embedded in the faces of simplicial complexes. For a representative example of self-organised critical behaviour induced by higher order structures, we present a more detailed analysis of the dynamics of field-driven spin reversal on the hysteresis loops in simplicial complexes composed of triangles. These numerical results suggest that two fundamental interactions representing the edge-embedded and triangle-embedded couplings must be taken into account in theoretical models to describe the influence of higher order geometry on critical dynamics.
Graphical abstract
Funder
Javna Agencija za Raziskovalno Dejavnost RS
NSERC and CRC Program Canada
Publisher
Springer Science and Business Media LLC
Reference106 articles.
1. B. Tadić, R. Melnik, Self-organised critical dynamics as a key to fundamental features of complexity in physical, biological, and social networks. Dynamics 1(2), 181–197 (2021)
2. S. Thurner, R. Hanel, P. Klimek, Introduction to the Theory of Complex Systems (Oxford University Press, Oxford, 2018)
3. C. Gershenson, A.F. Siegenfeld, Y. Bar-Yam, An introduction to complex systems science and its applications. Complexity 2020, 6105872 (2020)
4. E. Estrada, What is a complex system, after all? in Foundations of Science, pp. 1572–8471 (2023)
5. A. Rodríguez, A. Pluchino, U. Tirnakli, A. Rapisarda, C. Tsallis, Nonextensive footprints in dissipative and conservative dynamical systems. Symmetry 15(2), 444 (2023)
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献