Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Yong-Shang Long"'
Publikováno v:
Physical Review Research, Vol 3, Iss 1, p 013155 (2021)
According to the official report, the first case of COVID-19 and the first death in the United States occurred on January 20 and February 29, 2020, respectively. On April 21, California reported that the first death in the state occurred on February
Externí odkaz:
https://doaj.org/article/cdf393a7643346948360aeee5ccb2f08
Publikováno v:
Chaos (Woodbury, N.Y.). 32(9)
Symmetries, due to their fundamental importance to dynamical processes on networks, have attracted a great deal of current research. Finding all symmetric nodes in large complex networks typically relies on automorphism groups from algebraic-group th
Publikováno v:
Physical Review Research. 3
According to the official report, the first case of COVID-19 and the first death in the United States occurred on January 20 and February 29, 2020, respectively On April 21, California reported that the first death in the state occurred on February 6
Publikováno v:
Chaos: An Interdisciplinary Journal of Nonlinear Science. 32:043110
We uncover a phenomenon in coupled nonlinear networks with a symmetry: as a bifurcation parameter changes through a critical value, synchronization among a subset of nodes can deteriorate abruptly, and, simultaneously, perfect synchronization emerges
According to the official report, the first case of COVID-19 and the first death in the United States occurred on January 20 and February 29, 2020, respectively. On April 21, California reported that the first death in the state occurred on February
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09dd2e3c1cb908110fef1e3324271c22
https://doi.org/10.21203/rs.3.rs-48664/v1
https://doi.org/10.21203/rs.3.rs-48664/v1
Autor:
Ying-Cheng Lai, Yi-Lin Li, Yong-Shang Long, Zonghua Liu, Yin-Qi Zeng, Li-Lei Han, Dayu Wu, Ming Tang, Zhao-Hua Lin, Jie Kang, Zheng-Meng Zhai, Di Xu, Lang Zeng
Due to the heterogeneity among the States in the US, predicting COVID-19 trends and quantitatively assessing the effects of government testing capability and control measures need to be done via a State-by-State approach. We develop a comprehensive m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1dfd52d687552a0e71890ab8e4d7d64
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 505:655-665
Coarse graining technology is one of the important methods to study large-scale complex networks currently. Here, we propose a generalized-degree-based coarse graining (GDCG) approach to extract respectively the undirected or directed coarse-grained