{ "id": "2402.19157", "version": "v3", "published": "2024-02-29T13:40:04.000Z", "updated": "2024-05-23T11:56:40.000Z", "title": "Broken detailed balance and entropy production in directed networks", "authors": [ "Ramón Nartallo-Kaluarachchi", "Malbor Asllani", "Gustavo Deco", "Morten L. Kringelbach", "Alain Goriely", "Renaud Lambiotte" ], "comment": "36 pages, 14 figures", "categories": [ "physics.soc-ph", "cond-mat.stat-mech", "q-bio.NC" ], "abstract": "The structure of a complex network plays a crucial role in determining its dynamical properties. In this work, we show that the the degree to which a network is directed and hierarchically organised is closely associated with the degree to which its dynamics break detailed balance and produce entropy. We consider a range of dynamical processes and show how different directed network features affect their entropy production rate. We begin with an analytical treatment of a 2-node network followed by numerical simulations of synthetic networks using the preferential attachment and Erd\\\"os-Renyi algorithms. Next, we analyse a collection of 97 empirical networks to determine the effect of complex real-world topologies. Finally, we present a simple method for inferring broken detailed balance and directed network structure from multivariate time-series and apply our method to identify non-equilibrium dynamics and hierarchical organisation in both human neuroimaging and financial time-series. Overall, our results shed light on the consequences of directed network structure on non-equilibrium dynamics and highlight the importance and ubiquity of hierarchical organisation and non-equilibrium dynamics in real-world systems.", "revisions": [ { "version": "v3", "updated": "2024-05-23T11:56:40.000Z" } ], "analyses": { "keywords": [ "broken detailed balance", "non-equilibrium dynamics", "directed network structure", "entropy production rate", "dynamics break detailed balance" ], "note": { "typesetting": "TeX", "pages": 36, "language": "en", "license": "arXiv", "status": "editable" } } }