A Review of the Research Status and Progress of Opinion Dynamics
LIU Jusheng1,3 , HE Jianjia2, HAN Jingti1,3, YU Changrui1,3
1. School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai 200433, China; 2. Business School, University of Shanghai for Science and Technology,Shanghai 200093,China; 3. Shanghai Financial Intelligent Engineering Technology Research Center, Shanghai 200433, China
Abstract：As a form of public opinion, view and attitude, opinion widely exists in people′s life. It is important to clarify the evolution mechanism of opinion, explicit the existing research progress, and promote the rational governance of public opinion. In view of the lack of relevant introduction of binary opinion dynamics and the separation of the relationship between binary and group opinion dynamics, this paper summarized the research status of opinion dynamics at home and abroad. Firstly, it introduces the binary opinion dynamics model from the perspective of research method and interaction characteristic; Secondly, it combed the research results of group opinion dynamics from the perspective of individual characteristic, behavior characteristic, opinion characteristic, external environment and perspective dynamics. Finally, based on the existing research, it clarifies the problems, the mechanism of opinion evolution from the empirical perspective, the strengthening of opinions and the reduction of disputes, and the relationship between the evolution of views and group decision-making, that need to be solved in the future.
刘举胜, 何建佳, 韩景倜, 于长锐. 观点动力学研究现状及进展述评[J]. 复杂系统与复杂性科学, 2021, 18(2): 9-20.
LIU Jusheng, HE Jianjia, HAN Jingti, YU Changrui. A Review of the Research Status and Progress of Opinion Dynamics[J]. Complex Systems and Complexity Science, 2021, 18(2): 9-20.
[1]Degroot M H. Reaching a consensus[J]. Journal of the American Statistical Association, 1974, 69(345): 118-121. [2]Dong Y, Zhan M, Kou G, et al. A survey on the fusion process in opinion dynamics[J]. Information Fusion, 2018: 57-65. [3]Noorazar H. Recent advances in opinion propagation dynamics: a 2020 Survey[J]. The European Physical Journal Plus, 2020, 135:521. [4]任立肖,张亮,杜子平,等. 复杂网络上的网络舆情演化模型研究述评[J].情报科学, 2014,32(8):148-156. Ren Lixiao, Zhang Liang, Du Ziping, et al. A review of evolutionary model of network public opinion based on complex network[J]. Information Science, 2014,32(8):148-156. [5]Mare A D, Latora V. Opinion formation models based on game theory[J]. International Journal of Modern Physics C, 2007, 18(9): 1377-1395. [6]Ding F, Liu Y, Li Y. Co-evaluation of opinion and strategy in persuasion dynamics: an evolutionary games theoretical approach[J]. International Journal of Modern Physics C, 2009,20(3):479-490. [7]Montroll E W, Bandger L W. Introduction to Quantitative Aspects of Social Phenomena[M]. New York:Grodon &Breach Science Pub,1974:15-17. [8]Sznajd-Weron K, Sznajd J. Opinion evolution in closed community[J]. International Journal of Modern Physics C,2000,11(6): 1157-1165. [9]Holley R, Liggett T M. Ergodic theorems for weakly interacting infinite systems and the voter model[J]. Annals of Probability, 1975, 3(4): 643-663. [10] Galam S. Application of statistical physics to politics[J]. Physica A: Statistical Mechanics and Its Applications, 1999, 274(1): 132-139. [11] Deffuant G, Neau D, Amblard F, et al. Mixing beliefs among interacting agents[J]. Advances in Complex Systems, 2000,3(1):87-98. [12] Hegselmann R, Krause U. Opinion dynamics and bounded confidence models, analysis and simulation[J]. Journal of Artificial Societies and Social Simulation, 2002, 5(3): 1-34. [13] Abtoy A, Machhidan A, Aknin N, et al. Game theoretical approach of user behavior based on personal opinion in online video social networks[J]. International Journal of Innovation and Applied Studies, 2013, 3(1): 75-80. [14] Chen T, Li Q, Fu P, et al. Public opinion polarization by individual revenue from the social preference theory[J]. International Journal of Environmental Research and Public Health, 2020, 17(3):1-29. [15] Bu Z, Li H, Cao J, et al. Game theory based emotional evolution analysis for Chinese online reviews[J]. Knowledge Based Systems, 2016,103:60-72. [16] 熊菲,刘云,司夏萌,等.不完全信息下的群体决策仿真[J].系统工程理论与实践,2011,31(1):151-157. Xiong Fei, Liu Yun, Si Xiameng, et al. Simulation of collective decision-making with incomplete information[J]. Systems Engineering-Theory & Practice, 2011,31(1):151-157. [17] 宋彪,朱建明,黄启发. 基于群集动力学和演化博弈论的网络舆情疏导模型[J].系统工程理论与实践,2014,34(11):2984-2994. Song Biao,Zhu Jianming,Huang Qifa. The Internet public opinion grooming model based on cluster dynamics and evolutionary game theory[J].Systems Engineering-Theory & Practice,2014,34(11):2984-2994. [18] 雷丽彩,高尚,曾恩钰.考虑有限理性行为的大型工程复杂大群体动态决策仿真[J].系统工程,2018,36(8):123-131. Lei Licai,Gao Shang,Zeng Enyu.Simulation of group decision making process for large-scale construction considering bounded rational behaviors[J].Systems Engineering,2018,36(8):123-131. [19] Ising E. Beitrag zur theorie des ferromagnetismus[J].Zeitschrift Für Physik,1925,31(1): 253-258. [20] Zhu X L, Zhang H T, Sang J P, et al. Ising model on evolution networks and its application on opinion formation[J].Chinese Phy-sics B, 2014, 23(6):068701. [21] Stauffer D, Sousa A O, De Oliveira S M. Generalization to square lattice of sznajd sociophysics model[J]. International Journal of Modern Physics C, 2000, 11(6):1239-1245. [22] Suchecki K, Eguíluz, Víctor M, San Miguel M. Voter model dynamics in complex networks: role of dimensionality, disorder, and degree distribution[J]. Physical Review E,2005, 72: 036132. [23] Krawiecki A, Krawiecki A, Krawiecki A, et al. Stochastic resonance in the majority vote model on regular and small-world lattices[J]. International Journal of Modern Physics B, 2017:1750214. [24] Galam S. Sociophysics: a review of galam models[J]. International Journal of Modern Physics C, 2008, 19(3):409-440. [25] 邓磊,刘云. 虚拟社区网络中的极端个体建模与观点演化[J]. 北京交通大学学报, 2011, 35(2):66-71. Deng Lei, Liu Yun. Research on opinion formation and extremists modeling in internet virtual community[J].Journal of Beijing Jiaotong University, 2011, 35(2):66-71. [26] 杨雷,习鹏. 决策者个性混合群体观点演化的仿真[J]. 工业工程,2011,14(1):23-27. Yang Lei,Xi Peng.Simulation study on opinion evolutions in mixed-personality groups[J].Industrial Engineering Journal, 2011,14(1):23-27. [27] 张亮,杨闪,李霞.具有个体信息差异的Deffuant-I舆论传播模型[J].系统工程, 2017, 35(6): 82-88. Zhang Liang,Yang Shan, Li Xia. The Deffuant-I opinion diffusion model with differences in individual information levels[J]. Systems Engineering,2017, 35(6): 82-88. [28] 邵鹏,胡平.复杂网络特殊用户对群体观点演化的影响[J]. 电子科技大学学报, 2019,48(4): 604-612. Shao Peng, Hu Ping. The influence mechanism of special members on opinion evolution of group members in complex network[J].Journal of University of Electronic Science and Technology of China, 2019,48(4): 604-612. [29] Fu G Y, Zhang W D, Li Z J. Opinion dynamics of modified hegselmann-krause model in a group-based population with heterogeneous bounded confidence[J]. Physica A: Statistical Mechanics and Its Applications, 2015,419:558-565. [30] Fan K, Pedrycz W. Opinion evolution influenced by informed agents[J]. Physica A: Statistical Mechanics and Its Applications, 2016, 462: 431-441. [31] Xie H, Li G, Yan Y, et al. Evolution of bounded confidence opinion in social networks[J]. Discrete Dynamics in Nature and Society, 2017,2017: 1-5. [32] Proskurnikov A V, Tempo R, Cao M, et al. Opinion evolution in time-varying social influence networks with prejudiced agents[J]. IFAC-Papers OnLine, 2017, 50(1): 11896-11901. [33] 苏炯铭,刘宝宏,李琦,等. 社会群体中观点的信任、演化与共识[J].物理学报, 2014,63(5):44-51. Su Jiongming,Liu Baohong,Li Qi, et al.Trust, evolution, and consensus of opinions in a social group[J].Acta Physica Sinica, 2014,63(5):44-51. [34] 何建佳,刘举胜. 基于扩展Hegselmann-Krause模型的舆论演化模式研究[J]. 情报科学, 2018,36(1):158-163. He Jianjia,Liu Jusheng. On the dynamics of public opinion: a research based on extended hegselmann krause model[J].Information Science, 2018,36(1):158-163. [35] Chen X, Zhang X, Xie Y, et al. Opinion dynamics of social-similarity-based hegselmann-krause model[J]. Complexity, 2017,2017: 1-12. [36] 何建佳,刘举胜,王祥兵.认知失调视角下网络舆论演化模式与对策研究[J]. 现代情报, 2018,38(3):58-65,78. He Jianjia, Liu Jusheng, Wang Xiangbing. Research on the evolution pattern and countermeasures of internet public opinion from the perspective of cognitive disorder[J].Journal of Modern Information,2018,38(3):58-65,78. [37] Li K, Liang H, Kou G, et al. Opinion dynamics model based on the cognitive dissonance: an agent-based simulation[J]. Information Fusion, 2020,56: 1-14. [38] 黄庆花,宋玉蓉. 考虑观点篡改的观点传播动力学研究[J].复杂系统与复杂性科学,2015, 12(4):84-89,96. Huang Qinghua,Song Yurong. On the opinion spreading dynamics considering on opinion revision[J].Complex Systems and Complexity Science,2015, 12(4):84-89,96. [39] 万贻平,张东戈,赵慧赟,等. 个体的观点不确定性对群体观点多元化的影响[J]. 系统工程与电子技术,2016,38(9):2099-2108. Wan Yiping,Zhang Dongge,Zhao Huiyun,et al. Effects of individual-uncertainty on social pluralism[J].Systems Engineering and Electronics,2016,38(9):2099-2108. [40] Zhan M, Liang H, Ding Z, et al. Uncertain opinion evolution with bounded confidence effects in social networks[J]. Journal of Systems Science and Systems Engineering, 2019, 28(4): 494-509. [41] Cho J H, Rager S, John O'Donovan, et al. Uncertainty-based false information propagation in social networks[J]. ACM Transactions on Social Computing, 2019,2(2):1-34. [42] 陆安,刘业政. 基于连续影响函数的群体观点演化模型与仿真[J].管理学报, 2014,11(2):283-287. Lu An, Liu Yezheng. Simulation of group opinions evolution model based on continuous impact function[J].Chinese Journal of Management,2014,11(2):283-287. [43] Su W, Guo J, Chen X, et al. Noise-induced synchronization of hegselmann-krause dynamics in full space[J]. IEEE Transactions on Automatic Control, 2019, 64(9): 3804-3808. [44] Bhattacharyya A, Shiragur K. How friends and non-determinism affect opinion dynamics[C]∥2015 54th IEEE Conference on Decision and Control (CDC). Osaka, Japan, 2015. [45] 刘琪,肖人彬. 观点动力学视角下基于意见领袖的网络舆情反转研究[J].复杂系统与复杂性科学,2019,16(1):1-13. Liu Qi,Xiao Renbin.An opinion dynamics approach to public opinion reversion with the guidance of opinion leaders[J].Complex Systems and Complexity Science,2019,16(1):1-13. [46] Liang H, Su H, Wang Y, et al. Continuous-time opinion dynamics with stochastic multiplicative noises[J]. IEEE Transactions on Circuits and Systems Ii-express Briefs, 2019, 66(6): 988-992. [47] Su W, Chen G, Hong Y, et al. Noise leads to quasi-consensus of hegselmann-krause opinion dynamics[J]. Automatica, 2017, 85: 448-454. [48] 孔雅倩,杨雷.具有噪音干扰的群体决策观点演化过程研究[J]. 统计与决策,2013(11): 45-48. Sun Yaqian, Yang Lei.Research on the evolution process of group decision making opinion with noise disturbance[J].Statistics & Decision,2013(11): 45-48. [49] 赵奕奕,彭怡,肖磊,等. 突发事件下群体抢购行为的舆论传播机理研究[J].系统工程理论与实践,2015,35(3):616-622. Zhao Yiyi,Peng Yi,Xiao Lei, et al. On opinion propagation mechanism of collective panic buying under emergences[J].Systems Engineering-Theory & Practice, 2015, 35(3):616-622. [50] 于同洋,肖人彬,侯俊东. 网络舆情结构逆转建模与仿真:基于改进Deffuant模型[J].复杂系统与复杂性科学,2019,16(3):30-39. Yu Tongyang, Xiao Renbin, Hou Jundong. Modeling and simulation of online public opinion structure reversal:based on an improved deffuant model[J].Complex Systems and Complexity Science,2019,16(3):30-39. [51] 苏霜萍,杨文,赵芝芸. 社会网络中观点动力学的安全性分析(英文)[J].电子科技大学学报, 2020,49(6):924-933. Su Shuangping, Yang Wen, Zhao Zhiyun.Security analysis of opinion dynamics in social networks[J].Journal of University of Electronic Science and Technology of China, 2020,49(6): 924-933. [52] Dou R, Zhang Y, Nan G, et al. Iterative product design through group opinion evolution[J]. International Journal of Production Research, 2017, 55(13): 3886-3905. [53] 林自展,肖井华,周金连,等. 基于观点动力学的在线点评研究[J]. 电子科技大学学报, 2020,49(1):155-160. Lin Zizhan, Xiao Jinghua, Zhou Jinlian,et al. An online review research based on opinion dynamics model[J].Journal of University of Electronic Science and Technology of China,2020,49(1):155-160. [54] Wan Y, Ma B, Pan Y, et al. Opinion evolution of online consumer reviews in the e-commerce environment[J]. Electronic Commerce Research, 2018, 18(2): 291-311. [55] Gonzalez M C, Sousa A O, Herrmann H J, et al. Opinion formation on a deterministic pseudo-fractal network[J]. Internatio-nal Journal of Modern Physics C, 2004, 15(1): 45-57. [56] Hashemi E, Pirani M, Khajepour A, et al. Opinion dynamics-based vehicle velocity estimation and diagnosis[J]. IEEE Tran-sactions on Intelligent Transportation Systems, 2018, 19(7): 2142-2148. [57] Oster E, Feigel A. Prices of options as opinion dynamics of the market players with limited docial influence[J]. Quantitative Finance, 2015,94(5):591-595. [58] Chau H F, Wong C Y, Chow F K, et al. Social judgment theory based model on opinion formation, polarization and evolution[J]. Physica A: Statistical Mechanics and Its Applications, 2014,415: 133-140. [59] Fan K, Pedrycz W. Opinion evolution influenced by informed agents[J]. Physica A: Statistical Mechanics and Its Applications, 2016: 431-441. [60] Zhao Y, Peng Y. The roles of environmental noises and opinion leaders in emergency[C]∥International Conference on Active Media Technology. Maebashi, Japan, 2013: 231-240. [61] Liang H, Ganeshbabu U, Thorne T, et al.A dynamic bayesian network approach for analysing topic-sentiment evolution[J]. IEEE Access, 2020,8: 54164-54174. [62] Bolzern P, Colaneri P, Nicolao G D. Opinion dynamics in social networks: the effect of centralized interaction tuning on emerging behaviors[J]. IEEE Transactions on Computational Social Systems, 2020, 7(2):362-372. [63] Jiang L, Liu J, Zhou D, et al. Predicting the evolution of hot topics: a solution based on the online opinion dynamics model in social network[J]. IEEE Transactions on Systems, Man, and Cybernetics, 2018,99: 1-13. [64] Li Q Q, Li Y, Gu J F, et al. Opinion evolution of social cascading impact model[J]. Systems Engineering-Theory & Practice, 2015, 35(1):124-129. [65] Herrera-Viedma E, Cabrerizo F J, Kacprzyk J, et al. A review of soft consensus models in a fuzzy environment[J]. Information Fusion, 2014, 17:4-13. [66] Palomares I, Estrella F J, Martínez L, et al. Consensus under a fuzzy context: taxonomy, analysis framework AFRYCA and experimental case of study[J]. Information Fusion, 2014, 20:252-271.
