Journal of Applied Sciences ›› 2019, Vol. 37 ›› Issue (2): 191-202.doi: 10.3969/j.issn.0255-8297.2019.02.004

• Blockchain • Previous Articles     Next Articles

Public Opinion Propagation Model in Social Network Based on Blockchain

BIN Sheng, SUN Geng-xin, ZHOU Shuang   

  1. School of Data Science and Software Engineering, Qingdao University, Qingdao 266071, Shandong Province, China
  • Received:2018-12-11 Revised:2018-12-28 Online:2019-03-31 Published:2019-03-31

Abstract: With the emergence and development of blockchain technology, a new type of social networks based on blockchain had emerged. Due to the transparency and traceability brought by blockchain technology, the public opinion propagation in such social networks presents new characteristics and laws. Based on the theory of network propagation and blockchain, a new public opinion propagation model for the kind of social network based on blockchain technology is proposed in this paper. The model considers the effect of incentive mechanism produced by reasonably quantifying value contribution on the propagation of information in such social networks, and the income-risk matrix under different propagation behaviors is constructed. Furthermore, the transformation process and transfer probability among different states in the propagation model are defned on the basis of income-risk matrix. In the experimental simulation, through the analysis of the value of forwarding probability, the influence of incentive mechanism on information propagation in block-chain social network is illustrated. Through the influence of stable strategy of income-risk matrix on forwarding probability, the model is proved to be helpful to break the bottleneck of network public opinion management, the propagation of false network public opinion can be contained, and a good ecological environment of network public opinion propagation would be realized.

Key words: blockchain, social network, opinion propagation model, incentive mechanism

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