Open Access
ARTICLE
Research on Public Opinion Propagation Model in Social Network Based on Blockchain
School of Data Science and Software Engineering, Qingdao University, Qingdao, 266071, China.
School of Electronic and Information, Shandong Modern University, Jinan, 250104, China.
College of Information Engineering, Sanming University, Sanming, 365004, China.
Department of Information Engineering, Fujian College of Water Conservancy and Electric Power, Yongan, 366000, China.
College of Information Engineering, Shandong Yingcai University, Jinan, 250104, China.
College of Technology, Weifang University of Science and Technology, Weifang, 262700, China.
School of Computer Science, University College Dublin, Dublin, Ireland.
* Corresponding Author: Gengxin Sun. Email: .
Computers, Materials & Continua 2019, 60(3), 1015-1027. https://doi.org/10.32604/cmc.2019.05644
Abstract
With the emergence and development of blockchain technology, a new type of social networks based on blockchain had emerged. In these social networks high quality content creators, filters and propagators can all be reasonably motivated. 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 this 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 defined on the basis of income-risk matrix. The model is helpful to break the bottleneck of network public opinion management by using blockchain technology. The propagation of false network public opinion can be contained, and a good ecological environment of network public opinion propagation would be realized.Keywords
Cite This Article
Citations
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.