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VOUTSA, Venetia, Demian BATTAGLIA, Louise J. BRACKEN, Andrea BROVELLI, Julia COSTESCU, Mario DÍAZ MUNOZ, Brian D. FATH, Andrea FUNK, Mel GUIRRO, Thomas HEIN, Christian KERSCHNER, Christian KIMMICH, Vinicius LIMA, Arnaud MESSÉ, Anthony J. PARSONS, John PEREZ, Ronald PÖPPL, Christina PRELL, Sonia RECINOS, Yanhua SHI, Shubham TIWARI, Laura TURNBULL, John WAINWRIGHT, Harald WAXENECKER and Marc-Thorsten HÜTT. Two classes of functional connectivity in dynamical processes in networks. Journal of the Royal Society Interface. London: Royal Society, 2021, vol. 18, No 183, p. 1-26. ISSN 1742-5689. doi:10.1098/rsif.2021.0486.
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Basic information
Original name Two classes of functional connectivity in dynamical processes in networks
Authors VOUTSA, Venetia (276 Germany), Demian BATTAGLIA (250 France), Louise J. BRACKEN (826 United Kingdom of Great Britain and Northern Ireland), Andrea BROVELLI (250 France), Julia COSTESCU (826 United Kingdom of Great Britain and Northern Ireland), Mario DÍAZ MUNOZ (40 Austria), Brian D. FATH (840 United States of America, belonging to the institution), Andrea FUNK (40 Austria), Mel GUIRRO (826 United Kingdom of Great Britain and Northern Ireland), Thomas HEIN (40 Austria), Christian KERSCHNER (40 Austria, belonging to the institution), Christian KIMMICH (276 Germany, belonging to the institution), Vinicius LIMA (250 France), Arnaud MESSÉ (276 Germany), Anthony J. PARSONS (826 United Kingdom of Great Britain and Northern Ireland), John PEREZ (826 United Kingdom of Great Britain and Northern Ireland), Ronald PÖPPL (40 Austria), Christina PRELL (528 Netherlands), Sonia RECINOS (40 Austria), Yanhua SHI (156 China, belonging to the institution), Shubham TIWARI (826 United Kingdom of Great Britain and Northern Ireland), Laura TURNBULL (826 United Kingdom of Great Britain and Northern Ireland), John WAINWRIGHT (826 United Kingdom of Great Britain and Northern Ireland), Harald WAXENECKER (40 Austria, belonging to the institution) and Marc-Thorsten HÜTT (276 Germany).
Edition Journal of the Royal Society Interface, London, Royal Society, 2021, 1742-5689.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 50704 Environmental sciences
Country of publisher United Kingdom of Great Britain and Northern Ireland
Confidentiality degree is not subject to a state or trade secret
WWW article - open access
Impact factor Impact factor: 4.293
RIV identification code RIV/00216224:14230/21:00122740
Organization unit Faculty of Social Studies
Doi http://dx.doi.org/10.1098/rsif.2021.0486
UT WoS 000708619300001
Keywords in English scale-free graphs; modular graphs; random graphs; synchronisation; excitable dynamics; chaotic oscillators
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Blanka Farkašová, učo 97333. Changed: 14. 12. 2021 13:25.
Abstract
The relationship between network structure and dynamics is one of the most extensively investigated problems in the theory of complex systems of recent years. Understanding this relationship is of relevance to a range of disciplines—from neuroscience to geomorphology. A major strategy of investigating this relationship is the quantitative comparison of a representation of network architecture (structural connectivity, SC) with a (network) representation of the dynamics (functional connectivity, FC). Here, we show that one can distinguish two classes of functional connectivity—one based on simultaneous activity (co-activity) of nodes, the other based on sequential activity of nodes. We delineate these two classes in different categories of dynamical processes—excitations, regular and chaotic oscillators—and provide examples for SC/FC correlations of both classes in each of these models. We expand the theoretical view of the SC/FC relationships, with conceptual instances of the SC and the two classes of FC for various application scenarios in geomorphology, ecology, systems biology, neuroscience and socio-ecological systems. Seeing the organisation of dynamical processes in a network either as governed by co-activity or by sequential activity allows us to bring some order in the myriad of observations relating structure and function of complex networks.
Links
859937, interní kód MUName: Interdisciplinary connectivity: Understanding and managing complex systems using connectivity science (Acronym: i-CONN)
Investor: European Union, Interdisciplinary connectivity: Understanding and managing complex systems using connectivity science, MSCA Marie Skłodowska-Curie Actions (Excellent Science)
Displayed: 27. 1. 2023 16:13