Social Network Rumor Propagation Model Considering Blockchain Content Consensus

Can Zhang

doi:10.62051/ijcsit.v5n1.25

Authors

Can Zhang

DOI:

https://doi.org/10.62051/ijcsit.v5n1.25

Keywords:

Social network, SEIR, Rumor propagation model, Blockchain, Consensus mechanism

Abstract

In order to better explore the information dissemination characteristics of social networks, a trust evaluation mechanism is constructed based on the consensus mechanism and incentive mechanism of blockchain, and the participation consensus probability function is introduced, and a rumor propagation model of blockchain social networks is proposed. In the experimental simulation, the influence of trust degree on consensus participation probability and rumor acceptance probability is quantified, and the influence of this model on rumor propagation is explained through the analysis of consensus probability and propagation probability, and the comparison with the existing model is made. The experimental results show that the propagation range of the proposed model is reduced by 12%-41% compared with the classical model, which verifies that the proposed model can effectively suppress rumor propagation.

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References

[1] Nakamoto S. Bitcoin: A Peer-to-Peer Electronic Cash System [J]. consulted, 2008. DOI:http://dx.doi.org/.

[2] Melanie Swan. 2015. Blockchain: Blueprint for a New Economy (1st. ed.). O'Reilly Media, Inc.

[3] Peters W G, Panayi E. Understanding Modern Banking Ledgers through Blockchain Technologies: Future of Transaction Processing and Smart Contracts on the Internet of Money [J]. CoRR, 2015, abs/1511.05740.

[4] Modernizing enterprise business: Connecting application data with IBM Blockchain [R/OL]. (2019-02) [2022-1-19]. https://www.ibm.com/downloads/cas/VZPLDP04.

[5] What are Blockchain-Enabled Digital Ecosystems [R/OL]. (2020-04-29) [2022-1-20]. https:/ /azure.microsoft.com/en-us/resources/what-are-blockchain-enabled-digital-ecosystems/

[6] Bonneau J, Miller A, Clark J, et al. Sok: Research perspectives and challenges for bitcoin and cryptocurrencies[C]//2015 IEEE symposium on security and privacy. IEEE, 2015: 104-121.

[7] Kuo Z, Yongheng. Research review on Internet of Things security driven by blockchain technology [J]. Inform Xation. Network Security, 2017, (05): 1-6.

[8] Reyna A, Martín C, Chen J, et al. On blockchain and its integration with IoT. Challenges and opportunities [J]. Future Generation Computer Systems, 2018, 88: 173-190.

[9] Hardjono T, Smith N. Cloud-based commissioning of constrained devices using permissioned blockchains[C]//Proceedings of the 2nd ACM international workshop on IoT privacy, trust, and security. 2016: 29-36.

[10] IBM and Samsung: IBM ADEPT Practitioner Perspective - Pre Publication Draft. [R/OL]. (2015-06-07) [2022-1-22].https://zh.scribd.com/doc/252917347/IBM-ADEPT-Practictioner-Perspective-Pre-Publication-Draft-7-Jan-2015.

[11] Chen Y, Ding S, Xu Z, et al. Blockchain-based medical records secure storage and medical service framework [J]. Journal of medical systems, 2019, 43(1): 1-9.

[12] Meng Z, Morizumi T, Miyata S, et al. Design scheme of copyright management system based on digital watermarking and blockchain[C]//2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC). IEEE, 2018, 2: 359-364.

[13] Gogerty N, Zitoli J. DeKo: An electricity-backed currency proposal [J]. Social Science Research Network, 2011.

[14] Chakravorty A, Rong C. Ushare: user controlled social media based on blockchain[C]//Proceedings of the 11th international conference on ubiquitous information management and communication. 2017: 1-6.

[15] Guidi B. When blockchain meets online social networks [J]. Pervasive and Mobile Computing, 2020, 62: 101131.

[16] Song G, Kim S, Hwang H, et al. Blockchain-based notarization for social media[C]//2019 IEEE international conference on consumer electronics (icce). IEEE, 2019: 1-2.

[17] Swan M. Blockchain: Blueprint for a new economy [M]. " O'Reilly Media, Inc.", 2015.

[18] Qiang M, Han-han L. Analysis on the Governance Model of Internet Rumors based on Blockchain Technology -- taking news platform Steemit as an example [J]. News Forum, 2018, 4: 29-33.

[19] Jia P, Yin C. Research on the characteristics of community network information transmission in blockchain environment[C]//2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). IEEE, 2019, 1: 2296-2300.

[20] Han-han L. Research on Internet rumor governance based on blockchain technology [D]; Inner Mongolia University, 2019.

[21] Sulin.G. Research on Network Public Opinion Dissemination and Risk Management under blockchain environment [D]; Jilin University, 2020

[22] Zhao D, Wang X, Han J, et al. Research on the Propagation Characteristics and Rules of Network Public Opinion Information in Block Chain Environment [J]. Information Science, 2018, 37(09): 127-133.

[23] Xiwei W, Liu Z, Bo H, et al. Research on Network rumor screening model and simulation based on blockchain [J]. Journal of Information Technology, 2021, 40(02): 194-203.

[24] Sun G, Bin S, Jiang M, et al. Research on public opinion propagation model in social network based on blockchain [J]. CMC-Computers Materials & Continua, 2019, 60(3): 1015-1027.

[25] Zengle C, Xiaodong Q. Research on Optimization of Blockchain Social Network Information Propagation Model [J]. Computer Engineering and Applications, 2019, 57(07):59-69. (in Chinese)

[26] Xin-Dong W, Yi L, Lei L. Influence analysis of Online Social Networks [J]. Journal of Computers, 2014, 37(04):735-752.

[27] Borgatti S P, Everett M G. A graph-theoretic perspective on centrality [J]. Social networks, 2006, 28(4): 466-484.

[28] Ghosh R, Lerman K. Predicting influential users in online social networks [J]. arXiv preprint arXiv:1005.4882, 2010.

[29] Xiwei W, Xizhi J, Tingyan L, Liu Z. Research on the identification and Influence of Social Network user Opinion Leaders in the context of blockchain [J]. Information Theory and Practice, 2021, 44(05):84-91.

[30] Chen Y, Li Q, Wang H. Towards trusted social networks with blockchain technology [J]. arXiv preprint arXiv:1801.02796, 2018.

[31] Shaowu Z, Hongfei L, Xiaoxia L et al. Probabilistic trust propagation model [J]. Computer Science, 2014, 41(08):90-93+114. (in Chinese)

[32] Lisong H, Zeying C, Junjie T. Influencing factors and mechanism of customer trust in wechat environment [J]. Journal of Finance and Economics, 2017, (02):75-87.

[33] Lefa L, Xiangmao M, Xiaoyan W et al. Research on CASR rumor Propagation Model on wechat Social Network [J]. Small and Micro Computer Systems, 2016, 37(01):110-113. (in Chinese)

[34] Guanglai T. Research on Information Dissemination Model based on Blockchain Social Network [D]. Qingdao University, 2021.