Yunli Zhang

Work place: Department of Mathematics North University of China Taiyuan, P.R. China, 030051

E-mail: zhangyunli5365@sina.com

Website:

Research Interests: Computer systems and computational processes, Computer Networks, Network Architecture, Data Structures and Algorithms

Biography

Yunli. Zhang was born in a rural family of Handan City in Hebei Province on June 24 1984. She graduated from middle school in 2003, then entered Handan College to major in mathematics from 2003 to 2006, and went on to read mathematics in Tang Shan Teacher's College from 2006 to 2008. She graduated in 2008, and earned Bachelor of Science. Now she is a postgraduate two students in the North University of China, and studies in biomathematics and complex network. She has some work experience. In summer vacation and weekends, she usually as Private Teacher for high school students and Promoters in shopping malls. Now her work is assistant in the North University of China. She has a keen interest in complex network and infections disease fields.

Author Articles
The Analysis for the Two-stage Model on Scale-free Networks

By Maoxing Liu Yunli Zhang

DOI: https://doi.org/10.5815/ijem.2011.06.09, Pub. Date: 5 Dec. 2011

In this paper, we will study a two-stage model by complex networks. The dynamic behaviors of the model on a heterogenous scale-free (SF) network are considered, where the absence of the threshold on the SF network is demonstrated, and the stability of the disease-free equilibrium is obtained.

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Epidemic Dynamics for the Two-stage Model on Scale-free Networks

By Maoxing Liu Yunli Zhang Wei Han

DOI: https://doi.org/10.5815/ijieeb.2011.01.04, Pub. Date: 8 Feb. 2011

In this paper, we will study a two-stage model on complex networks. The dynamic behaviors of the model on a heterogeneous scale-free (SF) network are considered, where the absence of the threshold on the SF network is demonstrated, and the stability of the disease-free equilibrium is obtained. Four immunization strategies, proportional immunization, targeted immunization, acquaintance immunization and active immunization are applied in this model. We show that both targeted and acquaintance immunization strategies compare favorably to a proportional scheme in terms of effectiveness. For active immunization, the threshold is easier to apply practically.

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