Liu, F., Wang, L., Johnson, H., Zhao, H. (2015). Analysis of network trust dynamics based on the evolutionary game. Scientia Iranica, 22(6), 2548-2557.
F. Liu; L. Wang; H. Johnson; H. Zhao. "Analysis of network trust dynamics based on the evolutionary game". Scientia Iranica, 22, 6, 2015, 2548-2557.
Liu, F., Wang, L., Johnson, H., Zhao, H. (2015). 'Analysis of network trust dynamics based on the evolutionary game', Scientia Iranica, 22(6), pp. 2548-2557.
Liu, F., Wang, L., Johnson, H., Zhao, H. Analysis of network trust dynamics based on the evolutionary game. Scientia Iranica, 2015; 22(6): 2548-2557.
Analysis of network trust dynamics based on the evolutionary game
1School of Management Science and Engineering, Shandong Normal University, Ji'nan 250014, China.
2School of Management Science and Engineering, Shandong Normal University, Ji'nan 250014, China
3Faculty of Computer Sciences, Blekinge Institute of Technology, 371 41, Karlskrona, Sweden
4Department of Computer Science, University of California Davis, One Shields Ave., Davis, CA, 95616, USA
Abstract
Trust, as a multi-disciplinary research domain, is of high importance in the area of network security and it has increasingly become an important mechanism to solve the issues of distributed network security. Trust is also an e ective mechanism to simplify complex society, and is the source to promote personal or social cooperation. From the perspective of network ecological evolution, we propose the model of the P2P Social Ecological Network. Based on game theory, we also put forward network trust dynamics and network eco-evolution by analysis of network trust and the development of the dynamics model. In this article, we further analyze the dynamic equation, and the evolutionary trend of the trust relationship between nodes using the replicator dynamics principle. Finally, we reveal the law of trust evolution dynamics, and the simulation results clearly describe that the dynamics of trust can be e ective in promoting the stability and evolution of networks.
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