Abstract We study the effect of incubation period on epidemic spreading in the Barabasi--Albert scale-free network and the Watts--Strogatz small world network by using a Suspectable-Incubated-Infected-Suspectable model. Our analytical investigations show that the epidemic threshold is independent of incubation period in both networks, which is verified by our large-scale simulation results. We also investigate the effect of incubation period on the epidemic dynamics in a supercritical regime. It is found that with the increase of incubation period ${\it\Omega} $, a damped oscillation evolution of $\rho_T$ (the ratio of persons in incubated state) appears and the time needed to reach a saturation value increases. Moreover, the steady value of $\rho _T $ increases and approaches to an asymptotic constant with the value of ${\it\Omega} $ increasing. As a result, the infected ratio $\rho _I$ decreases with the increase of ${\it\Omega}$ according to a power law.
Received: 02 August 2008
Revised: 22 August 2008
Accepted manuscript online:
Huang Wei(黄炜), Jiang Rui(姜锐), Hu Mao-Bin(胡茂彬), and Wu Qing-Song(吴清松) Effect of incubation period on epidemic spreading in complex networks 2009 Chin. Phys. B 18 1306
Characteristics of vapor based on complex networks in China Ai-Xia Feng(冯爱霞), Qi-Guang Wang(王启光), Shi-Xuan Zhang(张世轩), Takeshi Enomoto(榎本刚), Zhi-Qiang Gong(龚志强), Ying-Ying Hu(胡莹莹), and Guo-Lin Feng(封国林). Chin. Phys. B, 2022, 31(4): 049201.
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.