Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Zhongkai Dang"'
Autor:
Lixiang Li, Zihang Yang, Zhongkai Dang, Cui Meng, Jingze Huang, Haotian Meng, Deyu Wang, Guanhua Chen, Jiaxuan Zhang, Haipeng Peng, Yiming Shao
Publikováno v:
Infectious Disease Modelling, Vol 5, Iss , Pp 282-292 (2020)
Based on the official data modeling, this paper studies the transmission process of the Corona Virus Disease 2019 (COVID-19). The error between the model and the official data curve is quite small. At the same time, it realized forward prediction and
Externí odkaz:
https://doaj.org/article/9a32c920136642759e7b606683e60eee
Publikováno v:
Information, Vol 12, Iss 1, p 26 (2021)
Since the outbreak of COVID-19, in addition to the continuous increment in the number of infected patients, the number of COVID-19-related papers has also increased significantly. According to the statistics, its number even exceeds the research of s
Externí odkaz:
https://doaj.org/article/36e2d219f1c74d9798a4567901d31261
Publikováno v:
Information Sciences. 574:377-393
In this paper, we study the propagation characteristics of rumors in an institution and develop the rumor dissemination model inside the institution. Different from the traditional model, a person in the proposed model can make a judgement about the
Publikováno v:
Security and Communication Networks, Vol 2021 (2021)
Multipartite secret sharing schemes are those that have multipartite access structures. The set of the participants in those schemes is divided into several parts, and all the participants in the same part play the equivalent role. One type of such a
Autor:
Deyu Wang, Haipeng Peng, Lixiang Li, Jingze Huang, Jiaxuan Zhang, Zihang Yang, Cui Meng, Guanhua Chen, Hao Tian Meng, Yiming Shao, Zhongkai Dang
Publikováno v:
Infectious Disease Modelling, Vol 5, Iss, Pp 282-292 (2020)
Infectious disease modelling, 5:282-292
Infectious Disease Modelling
Infectious disease modelling, 5:282-292
Infectious Disease Modelling
Based on the official data modeling, this paper studies the transmission process of the Corona Virus Disease 2019 (COVID-19). The error between the model and the official data curve is quite small. At the same time, it realized forward prediction and
Publikováno v:
International Journal of Modern Physics B. 35
In recent years, the influence of group behavior on individual behavior has been widely concerned by people. This paper takes the propagation of behavior-related information as the influencing medium, constructs the behavior propagation and confronta
Autor:
Guanhua Chen, Haipeng Peng, Zihang Yang, Deyu Wang, Jiaxuan Zhang, Hao Tian Meng, Cui Meng, Jingze Huang, Zhongkai Dang, Lixiang Li
Based on the official data modeling, this paper studies the transmission process of the Corona Virus Disease 2019 (COVID-19). The error between the model and the official data curve is within 3%. At the same time, it realized forward prediction and b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72c9e1d36366d2b716695d340f47c951
http://arxiv.org/abs/2003.06846
http://arxiv.org/abs/2003.06846
Publikováno v:
Chaos, Solitons & Fractals. 99:72-78
In this paper, we constructed the virus propagation tree for any infected node through improving the k-shell decomposition method. Supposing we determine the position of infected nodes, the root node of the propagation tree is an infected node and it
Publikováno v:
International Journal of Modern Physics B. 34:2050323
Recently, the study about the disease transmission has received widespread attention. In the dynamics process of infectious disease, individual’s cognition about disease-related knowledge is an important factor that controls disease transmission. T
Publikováno v:
International Journal of Performability Engineering.