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Si G.-Y.,NDU of PLA | Liu D.-S.,Military Operational Research and Analysis Institute
Proceedings of the 2012 2nd International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2012 | Year: 2012

In virtual environment, a leader as a special individual has important influence on ordinary individuals. Currently, researches on leadership mainly exist in the field of social psychology. There are few leadership models Leadership model which is are satisfied with social simulation is few. The paper begins with the introduction of researches on leadership in social science. Then, a social influence model of leadership based on personal image, traits and messages of a leader is presented. At last, four experiments are performed. Results of the experiments show that a favorable image of a leader, the distance between between a leader and and an individual, messages delivered by a leader are three important factors enhancing social influence of a leader. © 2012 IEEE.

Xu X.,NDU of PLA | Hu X.,NDU of PLA
Communications in Computer and Information Science | Year: 2012

In order to supply better accordance for modeling and simulation of complex networks, a new degree dependence entropy (DDE) descriptor is proposed to describe the degree dependence relationship and corresponding characteristic in this paper. First of all, degrees of vertices and the shortest path lengths between all pairs of vertices are computed; then the degree dependence matrices under different shortest path lengths are constructed; and the DDEs are extracted from the degree dependence matrices at last. Simulation results show that the DDE descriptor can reflect the complexity of degree dependence relationship in complex networks, high DDE indicates complex degree dependence relationship, low DDE indicates the opposite one, and the DDE can be seen as a quantitative statistical characteristic, which is meaningful for networked modeling and simulation. © 2012 Springer-Verlag.

He X.-Y.,NDU of PLA | Hu X.-F.,NDU of PLA
Xitong Fangzhen Xuebao / Journal of System Simulation | Year: 2010

Information diffusion on the worldwide web results from the interactions between social network and information network. The structural characteristic of Worldwide Web and users' social network was analyzed, the time-dependent function of information value was defined, and users' basic behavior was classified into read, write, review and propagate. An agent-based model of information diffusion on the web was built, the virtual information environment was generated by BA algorithm, and the virtual social network was depicted with WS algorithm. The property of agents, the behavior rules of users, and the interaction rules between user and web site were described. All the related algorithms were designed and the simulation model was implemented. The results show that some information diffusion rules in normal situation can be reproduced.

He X.-Y.,NDU of PLA | Hu X.-F.,NDU of PLA
Xitong Fangzhen Xuebao / Journal of System Simulation | Year: 2010

Modeling the mechanism of information diffusion is the basis of network diffusion utilizing and controlling. The diffusion of information on the Internet is with dynamical complexity, and the individual behavior is adaptive. Adopting the thinking in social physics, the dynamic factors in the information diffusion system on the analog of the spread of vibration in physics was defined. Then the microscopic dynamic model of net user's randomicity and adaptability behavior was quantitatively built based on the mechanism of dynamic factor taking effect on the behavior of net users. In this way, the microscopic behavior was associated with system evolution at macro level. Simulation software was developed based on those models. The S_shape nonlinear evolution characteristics of information diffusion on the Internet with computing experiments were analyzed. This solution may be used in modeling similar systems.

He X.-Y.,NDU of PLA | Hu X.-F.,NDU of PLA
Xitong Fangzhen Xuebao / Journal of System Simulation | Year: 2011

National Critical Infrastructure is a super-scale complex network SoS, which consists of multiple interrelated network systems in different domain such as electric power, communications, and transportation. Modeling and Simulation is one of the most effective approaches to discover the mechanisms of its complexity. Based on the theory of Complex Networks and Complex Systems, the complexity features and the causes were analyzed, some key issues of M&S in this domain were discussed, and some methodologies to modeling & simulating its large-scale architecture, multi-scale dynamics, etc, were proposed, which were the characteristics features of the complex network SoS.

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