已发表文献

Authors: 
Yingjie Xia, Institute of Service Engineering, Hangzhou Normal University, Hangzhou, 310036, P. R. China
Yinzuo Zhou, Corresponding author, Institute for Information Economy, Hangzhou Normal University, Hangzhou, 310036, P. R. China
Abstract: 

We study the influence of randomly distributed phase directions of external force in an array of coupled pendula, instead of studying the influence of continuous phase. We find that with the increase of the absolute value of the phase, the chaotic behaviors of the coupled arrays may be controlled and different synchronized patterns can be induced. These results demonstrate that by introducing the randomness of the phase directions, rather than the continuous value of the phase, it can lead to a synchronization in nonlinear systems.

s0129183114400166.pdf
Authors: 
Bin Shen, Innovation Centre for System Science and Big Data, Ningbo Institute of Technology, Zhejiang University, Ningbo, 315100, P. R. China
Yixiao Li, Corresponding author, School of Information, Zhejiang University of Finance and Economics, Hangzhou, 310018, P. R. China
Abstract: 

Most of co-occurrence networks only record co-occurrence relationships between two entities, and ignore the weights of co-occurrence cliques whose size is bigger than two. However, this ignored information may help us to gain insight into the co-occurrence phenomena of systems. In this paper, we analyze co-occurrence networks with clique occurrence information (CNCI) thoroughly. First, we describe the components of CNCIs and discuss the generation of clique occurrence information. And then, to illustrate the importance and usefulness of clique occurrence information, several metrics, i.e.

s0129183114400154.pdf
Authors: 
Zhen-Zhen Wang, Web Mining Lab, Department of Media and Communication, City University of Hong Kong, Tat Chee Avenue Kowloon, Hong Kong SAR, Hong Kong
Jonathan J. H. Zhu, Web Mining Lab, Department of Media and Communication, City University of Hong Kong, Tat Chee Avenue Kowloon, Hong Kong SAR, Hong Kong
Abstract: 

Homophily and preferential attachment are among the most recognized mechanisms of network evolution. Instead of examining the two mechanisms separately, this study considers them jointly in a scholarly collaboration network. Specifically, when a new scholar enters a field, how does he/she choose the first collaborator from the pool of available scholars?

s0129183114400142.pdf
Authors: 
Zhao-Long Hu, Research Center of Complex Systems Science, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China
Zhuo-Ming Ren, Research Center of Complex Systems Science, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China
Guang-Yong Yang, Research Center of Complex Systems Science, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China
Jian-Guo Liu, Research Center of Complex Systems Science, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China
Abstract: 

Human contact networks exhibit the community structure. Understanding how such community structure affects the epidemic spreading could provide insights for preventing the spreading of epidemics between communities. In this paper, we explore the spreading of multiple spreaders in community networks. A network based on the clustering preferential mechanism is evolved, whose communities are detected by the Girvan–Newman (GN) algorithm.

s0129183114400130.pdf
Authors: 
Qu Chen, School of Information Science and Technology, East China Normal University, Shanghai 200241, P. R. China
Jiang-Hai Qian, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, P. R. China
Ding-Ding Han, School of Information Science and Technology, East China Normal University, Shanghai 200241, P. R. China
Abstract: 

The traditional Gibrat's hypotheses were once used to model the topological fluctuations of Internet. Although it seems to reproduce the scaling relation of Internet's degree distribution, the detailed micro-dynamics have never been empirically validated. Here, we analyze the distribution of degree growth rates of the Internet for various time scales. We find that in contrast to the traditional Gibrat's assumptions, none of the degree growth rates are normally distributed, but behaves as an exponential decrease on its body and a power-law decay on its tail.

s0129183114400129.pdf
Authors: 
Xiangyong Chen, School of Sciences, Linyi University, Linyi, Shandong, 276005, P. R. China
Chengyong Wang, School of Sciences, Linyi University, Linyi, Shandong, 276005, P. R. China
Jianlong Qiu, Corresponding author, School of Sciences, Linyi University, Linyi, Shandong, 276005, P. R. China
Abstract: 

This paper considers the synchronization and anti-synchronization problem of N different coupled chaotic systems with ring connections. Employing the direct design method to design the synchronization and anti-synchronization controllers which can transform the error systems into a stable system with special anti-symmetric structure. Some simple stability criteria are then derived for reaching the synchronization in such systems. It is proved that these criteria not only are easily verified, but also improve and generalize previously known results.

s0129183114400117.pdf
Authors: 
Mei Sun, Nonlinear Scientific Research Center, Jiangsu University, Zhenjiang, Jiangsu 212013, P. R. China
Dandan Li, Nonlinear Scientific Research Center, Jiangsu University, Zhenjiang, Jiangsu 212013, P. R. China
Dun Han, Nonlinear Scientific Research Center, Jiangsu University, Zhenjiang, Jiangsu 212013, P. R. China
Changsheng Jia, Nonlinear Scientific Research Center, Jiangsu University, Zhenjiang, Jiangsu 212013, P. R. China
Abstract: 

The impact of anti-virus software on the spreading of computer virus is investigated via developing a mathematical model in this paper. Considering the anti-virus software may not be effective, as it may be an outdated version, and then the computers may be infected with a reduced incidence rate. According to the method of next generation matrix, the basic reproduction number is derived. By introducing appropriate Lyapunov function and the Routh stability criterion, acquiring the stability conditions of the virus-free equilibrium and virus equilibrium.

s0129183114400105.pdf
Authors: 
Chun-Xia Yang, School of Information and Control, Nanjing University of Information Science and Technology, Nanjing 210044, P. R. China
Min-Xuan Tang, School of Information and Control, Nanjing University of Information Science and Technology, Nanjing 210044, P. R. China
Hai-Qiang Tang, School of Information and Control, Nanjing University of Information Science and Technology, Nanjing 210044, P. R. China
Qiang-Qiang Deng, School of Information and Control, Nanjing University of Information Science and Technology, Nanjing 210044, P. R. China
Abstract: 

We constructed an improved weighted network model by introducing local-world selection mechanism and triangle coupling mechanism based on the traditional BBV model. The model gives power-law distributions of degree, strength and edge weight and presents the linear relationship both between the degree and strength and between the degree and the clustering coefficient. Particularly, the model is equipped with an ability to accelerate the speed increase of strength exceeding that of degree.

s0129183114400099.pdf
Authors: 
Maoxing Liu, Department of Mathematics, North University of China, Taiyuan, Shanxi, P. R. China
Abstract: 

In this paper, we present an Human Immunodeficiency Virus (HIV)/Acquired Immune Deficiency Syndrome (AIDS) drug-resistant model using an ordinary differential equation (ODE) model on scale-free networks. We derive the threshold for the epidemic to be zero in infinite scale-free network. We also prove the stability of disease-free equilibrium (DFE) and persistence of HIV/AIDS infection. The effects of two immunization schemes, including proportional scheme and targeted vaccination, are studied and compared.

s0129183114400087.pdf
Authors: 
Qi Gao, School of Automation, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, P. R. China
Xintong Ding, School of Automation, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, P. R. China
Feng Pan, Corresponding author, School of Automation, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, P. R. China
Weixing Li, School of Automation, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, P. R. China
Abstract: 

Sampling subnet is an important topic of complex network research. Sampling methods influence the structure and characteristics of subnet. Random multiple snowball with Cohen (RMSC) process sampling which combines the advantages of random sampling and snowball sampling is proposed in this paper. It has the ability to explore global information and discover the local structure at the same time. The experiments indicate that this novel sampling method could keep the similarity between sampling subnet and original network on degree distribution, connectivity rate and average shortest path.

s0129183114400075.pdf

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