NDU of PLA

Beijing, China

NDU of PLA

Beijing, China
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Liu D.-S.,Military Operational Research and Analysis Institute | Si G.-Y.,NDU of PLA
Proceedings - 2011 International Conference on Instrumentation, Measurement, Computer, Communication and Control, IMCCC 2011 | Year: 2011

In virtual environment, social Influence exists in interpersonal relationships. It is also important for developing individual attitude. The paper begins with the introduction of social influence theory. Then, a social influence model based on interpersonal relationship is presented. At last, three experiments are performed. Results of the experiments show that quantity preponderance, shortening the distance between individuals and enhancing individual influence by ameliorating images are effective way enhancing social influence. © 2011 IEEE.


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.


Xu X.-L.,NDU of PLA | Hu X.-F.,NDU of PLA
Xitong Fangzhen Xuebao / Journal of System Simulation | Year: 2013

Aiming at the relevant image information requirement of time effectiveness, individuation, and dynamic evolution for in strategic simulation, a locality preserving projections (LPP) based image retrieval on demand algorithm was proposed. Firstly, a multi-feature weight matrix synthesized by several single feature weight matrices was designed for LPP, which could reduce dimensionality efficiently for images of strategic simulation. Secondly, coupling the dynamic evolution process, a local and global optimization method was proposed for multi-feature weight matrix, which could simulate the image information requirement structure dynamically according to users' positive and negative feedback. Experiments show that the proposed algorithm can return image information with better accordance according to the evolution of war gaming requirement real time, and the image information on demand in strategic simulation has been realized to some extent. © Copyright;.


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.


Zhi T.,NDU of PLA | Si G.-Y.,NDU of PLA | He X.-Y.,NDU of PLA
Xitong Fangzhen Xuebao / Journal of System Simulation | Year: 2010

The model of electric power network is a major part of critical infrastructure model. The topology of network structure and the principle of net function were analyzed, according to the theory of complex network, applying the agent- based modeling to design and realize the model of electric power network. Through the simulation experiment, it was demonstrated to be better ways to simulate the dynamic progress of electric transmission and the cascading failure phenomenon caused by incidental trouble. The simulation model offers an effective approach to analysis electric power network's role in critical infrastructure, and makes a step to exploration for complex electric power network's dynamic character.


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 | Si G.-Y.,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. For modeling the consequence between individual diffusion behavior and system state evolvement, and adopting the thinking in social physics, the site diffusion impact factors model was defined referencing to the description of the vibration state and process of particle under outside force. The synthesized dynamical impact from each dynamics factors of diffusion system to the adaptability behaviors was proposed with the sensed state information by interacting user. Combining this model with agent-based individual property and interact rules, a web information diffusion simulation model was built, and the bidirectional relation between microscopic individual behavior and macroscopic system evolvement under the influence of dynamic environment could be simulated. The simulation results are consistent with empirical results, which show the feasibility of the method. It is a new approach to model similar systems.


Zhang F.,NDU of PLA | Si G.-Y.,NDU of PLA | Luo P.,NDU of PLA
Xitong Fangzhen Xuebao / Journal of System Simulation | Year: 2011

The important factor which impacts rumor propagation is human's communication and finite memory. Communication functions between individuals and individuals' finite memory function were given by defining uncertainty of individual's attitude, trust factor, and desire to spread rumor, by describing pertinence and faintness of rumor. Based on these definitions, an agent simulation model of rumor propagation was realized. Analysis of this model leads to conclusions: both pertinence and faintness of rumor, both trust factor, desire and finite memory are important factors to spread rumor which impacts rumor form and spread. Congruence of our simulation results and sociology and communication theory proves this model is reasonable and effective.


Zhang F.,NDU of PLA | Si G.-Y.,NDU of PLA | Luo P.,NDU of PLA
Xitong Fangzhen Xuebao / Journal of System Simulation | Year: 2011

The social mechanisms of rumor fulfilling were focused on based on evolution game. Communication functions between individuals were given by describing pertinence and faintness of rumor. Based on these definitions, an agent simulation model of rumor propagation was realized. Analysis of this model leads to conclusions: Rumors related to people's personal interests win acceptance through changing people's expected payoffs, misleading people to the belief that acceptance of the rumor would beneficially outperform rejection of it. But because it is risky to believe rumors, people make their decision whether to believe a rumor or not by referring to other people's choices. Study on mechanisms of rumor spreading based on evolution game offers innovative research of rumor spreading new means.

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