Panpan Shu

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In this paper, 8 kinds of traditional Chinese medicines Baizhi were identified by near-infrared spectrum, coping with pattern recognition. The results showed that near-infrared spectrum method in identifying traditional Chinese medicines Baizhi was not only simple, rapid, but also using few examples, noninvasion. This method provided referential information(More)
Epidemic threshold has always been a very hot topic for studying epidemic dynamics on complex networks. The previous studies have provided different theoretical predictions of the epidemic threshold for the susceptible-infected-recovered (SIR) model, but the numerical verification of these theoretical predictions is still lacking. Considering that the large(More)
Weak ties play a significant role in the structures and the dynamics of community networks. Based on the contact process, we study numerically how weak ties influence the predictability of epidemic dynamics. We first investigate the effects of the degree of bridge nodes on the variabilities of both the arrival time and the prevalence of disease, and find(More)
Heterogeneous adoption thresholds exist widely in social contagions, but were always neglected in previous studies. We first propose a non-Markovian spreading threshold model with general adoption threshold distribution. In order to understand the effects of heterogeneous adoption thresholds quantitatively, an edge-based compartmental theory is developed(More)
Individuals are always limited by some inelastic resources, such as time and energy, which restrict them to dedicate to social interaction and limit their contact capacities. Contact capacity plays an important role in dynamics of social contagions, which so far has eluded theoretical analysis. In this paper, we first propose a non-Markovian model to(More)
Accurate identification of effective epidemic threshold is essential for understanding epidemic dynamics on complex networks. In this paper, we systematically study how the recovery rate affects the susceptible-infected-removed spreading dynamics on complex networks, where synchronous and asynchronous updating processes are taken into account. We derive the(More)
  • Panpan Shu
  • 2014
Understanding human-driven dynamics has attracted increasing attention recently. Here we propose a variable information model to investigate the effects of memory on information spreading in complex networks. We find the prevalence of information can be enlarged once the individuals have memory of the states of their neighbors. Owing to the difference in(More)
OBJECTIVE To supplement cytobiological and pollen morphological data for confirming the original plant of traditional Chinese drug "Bai Zhi". METHOD Karyological study and pollen observation were made on "Bai Zhi" and its closely related wild plants. RESULT Similarities and differences of "Bai Zhi" and its closely related wild plants were found. (More)
Although an increasing amount of research is being done on the dynamical processes on interdependent spatial networks, knowledge of how interdependent spatial networks influence the dynamics of social contagion in them is sparse. Here we present a novel non-Markovian social contagion model on interdependent spatial networks composed of two identical(More)