基于区块链技术的社交网络中舆情传播模型

doi:10.3969/j.issn.0255-8297.2019.02.004

应用科学学报 ›› 2019, Vol. 37 ›› Issue (2): 191-202.doi: 10.3969/j.issn.0255-8297.2019.02.004

基于区块链技术的社交网络中舆情传播模型

宾晟, 孙更新, 周双

青岛大学数据科学与软件工程学院, 山东青岛 266071

收稿日期:2018-12-11 修回日期:2018-12-28 出版日期:2019-03-31 发布日期:2019-03-31
作者简介:宾晟,副教授,研究方向:网络舆情传播,E-mail:binsheng@qdu.edu.cn
基金资助:
教育部人文社会科学研究青年项目（No.15YJC860001）；山东省自然基金面上项目（No.ZR2017MG011）；山东省社会科学规划项目（No.17CHLJ16）；青岛市社会科学规划项目（No.QDSKL1801056）资助

Public Opinion Propagation Model in Social Network Based on Blockchain

BIN Sheng, SUN Geng-xin, ZHOU Shuang

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

摘要/Abstract

摘要： 随着区块链技术的产生和发展，出现了利用区块链技术的去中心化共识方式为用户产生的内容进行贡献定价的新型社交网络.基于网络传播和区块链理论，提出针对基于区块链技术的社交网络的舆情传播模型，考虑该类社交网络中由合理量化价值贡献而产生的激励机制对于用户传播信息产生的影响，构建在不同传播行为下的收益-风险矩阵，进而界定传播模型中各状态间的转换过程和转移概率.在实验仿真中，通过对转发概率取值的分析说明了区块链社交网络中的激励机制对信息传播的影响.并且通过收益-风险矩阵的稳定策略对于转发概率的影响，验证了该模型有助于打破网络舆情管理瓶颈，遏制虚假网络舆情传播，实现生态良好的网络舆情传播环境.

关键词: 社交网络, 舆情传播模型, 激励机制, 区块链

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

中图分类号:

TP311

宾晟, 孙更新, 周双. 基于区块链技术的社交网络中舆情传播模型[J]. 应用科学学报, 2019, 37(2): 191-202.

BIN Sheng, SUN Geng-xin, ZHOU Shuang. Public Opinion Propagation Model in Social Network Based on Blockchain[J]. Journal of Applied Sciences, 2019, 37(2): 191-202.

参考文献

[1] Kolonin A. Assessment of personal environments in social networks[C]//Data Science & Engineering. IEEE, 2017:61-64.
[2] Swan M. Blockchain consensus models increase the information resolution of the universe[J]. Journal of Geodynamics, 2005, 39(5):512-526.
[3] Yuan Y, Wang Y F. Blockchain:the state of the art and future trends[J]. Acta Automatica Sinica, 2016, 42(4):481-494.
[4] Ersoy O, Ren Z J, Zekeriya E, Lagendijk R L. Transaction propagation on permissionless blockchains:incentive and routing mechanisms[C]//Crypto Valley Conference on Blockchain Technology (CVCBT). IEEE, 2018:20-30.
[5] Chen Z D, Dong A Q, Sun H. Research on private blockchain based on crowdfunding[J]. Journal of Information Security Research, 2017, 3(3):227-236.
[6] Zhao D, Wang X W, Han J P. Research on the propagation characteristics and rules of network public opinion information in block chain environment[J]. Journal of Intelligence, 2018, 37(9):127-133.
[7] Li T A. Block chain refactoring network public opinion environment[J]. Media, 2017(21):87-90.
[8] Boyd D M, Ellison N B. Social network sites:defnition, history, and scholarship[J]. Journal of Computer-Mediated Communication, 2007, 13(1):16-31.
[9] Tapscott D, Tapscott A. How blockchain will change organizations[J]. MIT Sloan Management Review, 2017, 58(2):10-13.
[10] Boccaletti S, Latora V, Moreno Y. Complex networks:structure and dynamics[J]. Physics reports, 2006, 424(4/5):175-308.
[11] López-Pintado D. Diffusion in complex social networks[J]. Games & Economic Behavior, 2008, 62(2):573-590.
[12] Kitsak M, Gallos L K, Havlin S. Identifcation of influential spreaders in complex networks[J]. Nature physics, 2010, 6(11):888-893.
[13] Feng M N, Zhu G, Yang J Y. Research on privacy protection for social network based on evolution game theory[J]. Journal of Intelligence, 2017, 36(9):127-132.
[14] Guo J L. Emergence of scaling in non-uniform hypernetworks-does "the rich get richer" lead to a power-law distribution[J]. Acta Automatica Sinica, 2014, 63(20):398-403.
[15] Wang Y, Chen S S, Fu X C. Review and prospect of propagation dynamics models[J]. Communication on Applied Mathematics and Computation, 2018, 32(2):267-294.
[16] Zhao D, Sun J, Tan Y. An extended SEIR model considering homepage effect for the information propagation of online social networks[J]. Physica A:Statistical Mechanics and Its Applications, 2018, 512:1019-1031.
[17] Wang W, Zhao X Q. Threshold dynamics for compartmental epidemic models in periodic environments[J]. Journal of Dynamics & Differential Equations, 2008, 20(3):699-717.
[18] Altmann M. Susceptible-infected-removed epidemic models with dynamic partnerships[J]. Journal of Mathematical Biology, 1995, 33(6):661-675.
[19] Watts D J, Strogatz S H. Collective dynamics of ‘small-world’ networks[J]. Nature, 1998, 393(6684):440-442.
[20] Albert R, Barabási A L. Statistical mechanics of complex networks[J]. Reviews of Modern Physics, 2002, 74(1):47-97.

基于区块链技术的社交网络中舆情传播模型

Public Opinion Propagation Model in Social Network Based on Blockchain

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	蒋沁吟, 张熙. 基于特定主题的社交网络影响力评估方法[J]. 应用科学学报, 2020, 38(3): 353-366.
[2]	方俊杰, 雷凯. 面向边缘人工智能计算的区块链技术综述[J]. 应用科学学报, 2020, 38(1): 1-21.
[3]	何正源, 段田田, 张颖, 张瀚文, 孙毅. 物联网中区块链技术的应用与挑战[J]. 应用科学学报, 2020, 38(1): 22-33.
[4]	李忠诚, 黄建华, 唐瑞琮, 胡庆春, 夏旭. 一种基于权益代表的可扩展共识协议[J]. 应用科学学报, 2020, 38(1): 51-64.
[5]	邹秀清, 罗得寸, 林平, 沈世平, 谢振平, 王玉珏, 丁勇. 基于区块链的河长制水质信息存证系统[J]. 应用科学学报, 2020, 38(1): 65-80.
[6]	苑陈娟, 孙国梓, 李华康, 王纪涛. 牌类游戏可信存证链系统[J]. 应用科学学报, 2020, 38(1): 81-92.
[7]	江云超, 何小卫, 崔一举. 区块链节点存储优化方案[J]. 应用科学学报, 2020, 38(1): 119-126.
[8]	潘恒, 潘磊, 姚中原, 斯雪明. 一种病人可控的电子病历安全访问方案[J]. 应用科学学报, 2020, 38(1): 127-138.
[9]	佘维, 陈建森, 顾志豪, 田钊, 徐力, 刘炜. 基于区块链的物联网节点位置隐私保护模型[J]. 应用科学学报, 2020, 38(1): 139-151.
[10]	雷凯, 黄硕康, 方俊杰, 黄济乐, 谢英英, 彭波. 智能生态网络:知识驱动的未来价值互联网基础设施[J]. 应用科学学报, 2020, 38(1): 152-172.
[11]	张利华, 胡方舟, 黄阳, 万源华, 李晶晶. 基于联盟链的微电网身份认证协议[J]. 应用科学学报, 2020, 38(1): 173-183.
[12]	张逸飞, 曹少中, 祁德力, 王亮, 杨彦红. 基于区块链的图书侵权记录存证平台[J]. 应用科学学报, 2020, 38(1): 184-196.
[13]	任鹏, 徐晶晶, 王意, 马小峰. 基于区块链和车联网的汽车租赁联盟的研究与实现[J]. 应用科学学报, 2019, 37(6): 851-858.
[14]	范贤丽, 范春晓, 吴岳辛. 基于区块链和IPFS技术实现粮食供应链隐私信息保护[J]. 应用科学学报, 2019, 37(2): 179-190.
[15]	李博, 郑博, 郭子阳, 王宏志. 区块链技术在金融方向应用的发展及展望[J]. 应用科学学报, 2019, 37(2): 151-163.