Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Chao-Ran Cai"'
Publikováno v:
Physical Review Research, Vol 5, Iss 3, p 033220 (2023)
In this paper, we propose three physical images, namely, asymmetric external inputs, discretization of the low rate region, and secondary outbreak, to understand the mystery of the relative timescales in the coevolution dynamics on multiplex networks
Externí odkaz:
https://doaj.org/article/4023d85eb4084f4c8bca5c0bf7ad4156
Autor:
Xin Chang, Chao-Ran Cai, Chong-Yang Wang, Xu-Sheng Liu, Ji-Qiang Zhang, Kang Jin, Wen-Li Yang
Publikováno v:
Physical Review Research, Vol 5, Iss 1, p 013196 (2023)
In this paper, we investigate the effect of self-awareness (interlayer interaction) for information-epidemic dynamics with simplicial complexes both near and away from the epidemic threshold. It is shown that, contrary to previous views, self-awarene
Externí odkaz:
https://doaj.org/article/18e10c502cc9423d8feac50d2820480c
Publikováno v:
Physical review. E. 104(4-1)
The phase transition of epidemic spreading model on networks is one of the most important concerns of physicists to theoretical epidemiology. In this paper, we present an analytical expression of epidemic threshold for interplay between epidemic spre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::922b53ddca3aedbac40ad32872d0f226
https://pubmed.ncbi.nlm.nih.gov/34781529
https://pubmed.ncbi.nlm.nih.gov/34781529
Publikováno v:
Physical Review E. 103
We develop a theory for the susceptible-infected-susceptible (SIS) epidemic model on networks that incorporate both network structure and dynamic correlations. This theory can account for the multistage onset of the epidemic phase in scale-free netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08cc9de3852274aded6a2620865702f8
https://doi.org/10.1103/physreve.103.032313
https://doi.org/10.1103/physreve.103.032313
Publikováno v:
Europhysics Letters. 137:61002
Linear mapping is widely used in dynamic modeling and empirical data analysis, but it suffers from the serious shortcoming that it does not work in the common case of time intervals being large. The fundamental cause of the failure is that the linear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::437435c9beecd0684fe38b20ebc50d6d
https://doi.org/10.1209/0295-5075/ac5fd0
https://doi.org/10.1209/0295-5075/ac5fd0
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 473:135-143
This paper reports internal support mechanisms (i.e., without external intervention) to enhance the vaccine coverage in the evolutionary vaccination dynamics. We present two internal support mechanisms, one is global support mechanism in which each i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04f28c0838592c600ba96f19f306dbe6
https://doi.org/10.1016/j.physa.2017.01.046
https://doi.org/10.1016/j.physa.2017.01.046
Autor:
Chao-Ran Cai, Zhi-Xi Wu
Publikováno v:
Physical review. E. 101(1-1)
Whenever a dynamical process unfolds on static networks, the dynamical state of any focal individual will be exclusively influenced by directly connected neighbors, rather than by those unconnected ones, hence the arising of the dynamical correlation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92d053d3261743b9cf74e99974c38ecf
https://pubmed.ncbi.nlm.nih.gov/32069571
https://pubmed.ncbi.nlm.nih.gov/32069571
Autor:
Xin Chang, Chao-Ran Cai
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 571:125850
By introducing these probabilities of reaching an arbitrary infected individual from individuals of different degrees and states, we derive the explicit analytical solutions of the epidemic prevalence and the threshold for the discrete-time susceptib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2531f7da8b6f30070bbbce93ca907d48
https://doi.org/10.1016/j.physa.2021.125850
https://doi.org/10.1016/j.physa.2021.125850
Publikováno v:
Chaos, Solitons, and Fractals
The transmission of infectious, yet vaccine-preventable, diseases is a typical complex social phenomenon, where the increasing level of vaccine update in the population helps to inhibit the epidemic spreading, which in turn, however, discourages more
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82a236d5fd459dfd437630663a6679c2
https://doi.org/10.1016/j.chaos.2014.04.005
https://doi.org/10.1016/j.chaos.2014.04.005
The Susceptible-Infected-Susceptible model is a canonical model for emerging disease outbreaks. Such outbreaks are naturally modeled as taking place on networks. A theoretical challenge in network epidemiology is the dynamic correlations coming from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61f919c736979d76affaafc220e176ad
