Zobrazeno 1 - 10
of 28
pro vyhledávání: '"SARBENDU RAKSHIT"'
Publikováno v:
Entropy, Vol 25, Iss 7, p 1083 (2023)
Heterogeneity among interacting units plays an important role in numerous biological and man-made complex systems. While the impacts of heterogeneity on synchronization, in terms of structural mismatch of the layers in multiplex networks, has been st
Externí odkaz:
https://doaj.org/article/88a8518f781f4f71ae0e6e5660fef3db
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
Abstract Chimera states, namely complex spatiotemporal patterns that consist of coexisting domains of spatially coherent and incoherent dynamics, are investigated in a network of coupled identical oscillators. These intriguing spatiotemporal patterns
Externí odkaz:
https://doaj.org/article/b2ddfa3f2b624ca19dce2391821d957a
With synchronization being one of nature's most ubiquitous collective behaviors, the field of network synchronization has experienced tremendous growth, leading to significant theoretical developments. However, most of these previous studies consider
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::274c5f86021fd7ef79eca76528f3f914
Autor:
Juergen Kurths, Sajad Jafari, Fatemeh Parastesh, Dibakar Ghosh, SARBENDU RAKSHIT, Sayantan Nag Chowdhury
Publikováno v:
Nonlinearity. 35:681-718
In this paper, the existence (invariance) and stability (locally and globally) of relay interlayer synchronisation (RIS) are investigated in a chain of multiplex networks. The local dynamics of the nodes in the symmetric positions layers on both side
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40e093b3e62b47ae4bee8c4042e06a78
https://doi.org/10.1088/1361-6544/ac3c2f
https://doi.org/10.1088/1361-6544/ac3c2f
Publikováno v:
SIAM Journal on Applied Dynamical Systems. 19:918-963
In this paper, we study intralayer synchronization of multiplex networks where nodes in each layer interact through diverse types of coupling functions associated with different time-varying networ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae88e823941d207c61f023bdc0003d29
https://doi.org/10.1137/18m1224441
https://doi.org/10.1137/18m1224441
Autor:
Dibakar Ghosh, Mattia Frasca, Alessandro Rizzo, Soumen Majhi, Sarbendu Rakshit, Karin Alfaro-Bittner, Stefano Boccaletti
Over the past two decades, complex network theory provided the ideal framework for investigating the intimate relationships between the topological properties characterizing the wiring of connections among a system's unitary components and its emerge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81faf84d30cd71336614cce3ca0efdc5
http://hdl.handle.net/11583/2957684
http://hdl.handle.net/11583/2957684
Publikováno v:
The European Physical Journal Special Topics. 228:2441-2454
Synchronization phenomenon is one of the most fundamental properties in the field of neurosciences, and it plays a key role in several neuronal processes. In this paper, we report a neural synchrony in a multiplex neuronal network by simultaneously t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bbfd7d834594e807e61121adb2a759b
https://doi.org/10.1140/epjst/e2019-900007-8
https://doi.org/10.1140/epjst/e2019-900007-8
The stability analysis of synchronization patterns on generalized network structures is of immense importance nowadays. In this article, we scrutinize the stability of intralayer synchronous state in temporal multilayer hypernetworks, where each dyna
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c9846cf8cef3f37ec7cbe024296f381
Publikováno v:
Chaos: An Interdisciplinary Journal of Nonlinear Science. 32:042101
Complex network theory has offered a powerful platform for the study of several natural dynamic scenarios, based on the synergy between the interaction topology and the dynamics of its constituents. With research in network theory being developed so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00247ca4aa9456e9bd8c5d1faa5d7952
https://doi.org/10.1063/5.0087291
https://doi.org/10.1063/5.0087291
Publikováno v:
2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR).
Synchronization phenomena in populations of interacting elements are the subject of extensive research in biological, chemical, physical and social systems. Understanding of the emergent behavior in controlled experiments or real systems requires a f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c18764288f0bad12b80c71e77252b93
https://doi.org/10.1109/dcnair50402.2020.9216818
https://doi.org/10.1109/dcnair50402.2020.9216818