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pro vyhledávání: '"Jayson Sia"'
Autor:
Mohamed Ridha Znaidi, Jayson Sia, Scott Ronquist, Indika Rajapakse, Edmond Jonckheere, Paul Bogdan
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-18 (2023)
Abstract Deciphering the non-trivial interactions and mechanisms driving the evolution of time-varying complex networks (TVCNs) plays a crucial role in designing optimal control strategies for such networks or enhancing their causal predictive capabi
Externí odkaz:
https://doaj.org/article/d23e564547034ba3a519fb29f9ed9361
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-17 (2022)
Abstract Cellular biological networks represent the molecular interactions that shape function of living cells. Uncovering the organization of a biological network requires efficient and accurate algorithms to determine the components, termed communi
Externí odkaz:
https://doaj.org/article/af29021a6278416f9480a7acf47ea952
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-12 (2019)
Scientific Reports
Scientific Reports
Identification of community structures in complex network is of crucial importance for understanding the system’s function, organization, robustness and security. Here, we present a novel Ollivier-Ricci curvature (ORC) inspired approach to communit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62dc0e8c5ee15fc8c253eb63d3fe8091
http://link.springer.com/article/10.1038/s41598-019-46079-x
http://link.springer.com/article/10.1038/s41598-019-46079-x