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复杂系统与复杂性科学  2023, Vol. 20 Issue (3): 1-10    DOI: 10.13306/j.1672-3813.2023.03.001
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考虑社会阶层的观点演化模型
宋安驰, 陈曦
华中科技大学人工智能与自动化学院,武汉 430074
Opinion Evolution Model Considering Social Class Structure
SONG Anchi, CHEN Xi
School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China
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摘要 为解决现有观点演化研究对社会阶层考虑不够充分的问题,在个体异质性影响力的基础上,将网络中节点的拓扑性质与社会结构结合,提出了一种基于HK模型的观点演化模型。在3种经典复杂网络和一个实证网络中,采用社会学领域中根据资本划分社会阶层的方法,构建了3种社会结构。利用仿真实验,发现社会结构对观点演化具有重大影响,通过社会政策调整社会结构有利于观点达到一致。为研究现实社会同一类型社会结构中观点演化不一致的情况,在B型金字塔和橄榄型社会结构下,设置高阶层个体不同的初始观点分布,发现高阶层个体观点的极化和统一会相应地影响舆论的极化和一致。
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宋安驰
陈曦
关键词 观点演化社会阶层资本社会结构    
Abstract:In order to solve the problem of insufficient consideration of social class in the existing opinion dynamics studies, an opinion dynamics model based on the Hegselmann and Krause (HK) model is proposed by combining the topological properties of nodes in the network with the social structure on the basis of the heterogeneity of individual influences. In three types of classic complex network and an empirical network, three social structures are constructed with the social class division method adopted from the field of sociology according to capital. Simulation experiments demonstrate that the social structure has a significant impact on opinion evolution. Adjustment of the social structure through social policies is conducive to the consensus of opinions. To study the inconsistency of opinion evolution in the same type of social structure in the actual society, different initial opinion distributions of upper-class individuals are set up in the type-B pyramidal and olive-shaped social structures. It is inferred that the polarization and unification of upper-class individuals’ opinions will influence the polarization and unification of public opinion correspondingly.
Key wordsopinion dynamics    social class    capital    social structure
收稿日期: 2021-11-03      出版日期: 2023-10-08
ZTFLH:  TP391.9  
基金资助:国家自然科学基金(71974063)
通讯作者: 陈曦(1974),男,湖北武汉人,博士,教授,主要研究方向为复杂系统、决策支持理论与方法。   
作者简介: 宋安驰(1997),男,江西赣州人,硕士研究生,主要研究方向为复杂系统建模与仿真。
引用本文:   
宋安驰, 陈曦. 考虑社会阶层的观点演化模型[J]. 复杂系统与复杂性科学, 2023, 20(3): 1-10.
SONG Anchi, CHEN Xi. Opinion Evolution Model Considering Social Class Structure. Complex Systems and Complexity Science, 2023, 20(3): 1-10.
链接本文:  
https://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2023.03.001      或      https://fzkx.qdu.edu.cn/CN/Y2023/V20/I3/1
[1] CHEN X, ZHAO S, LI W. Opinion dynamics model based on cognitive styles: field-dependence and field-independence[J]. Complexity, 2019(3): 112.
[2] RICHARD A, THOMAS M. Ergodic theorems for weakly interacting infinite systems and the voter model[J]. The Annals of Probability, 1975, 3(4): 643663.
[3] GALAM S. Application of statistical physics to politics[J]. Physica A: Statistical Mechanics and Its Applications, 1999, 274(1): 132139.
[4] SZNAJD W, SZNAJD J. Opinion evolution in closed community[J]. International Journal of Modern Physics C, 2000, 11(6): 11571165.
[5] DEFFUANT G, NEAU D, AMBLARD F. Mixing beliefs among interacting agents[J]. Advances in Complex Systems, 2000, 3(14): 8798.
[6] DEGROOT M H. Reaching a consensus[J]. Journal of the American Statistical Association, 1974, 69(345): 118121.
[7] HEGSELMANN R. Opinion dynamics and bounded confidence models, analysis and simulation[J]. Journal of Artificial Societies & Social Simulation, 2002, 5(3): 2.
[8] 刘举胜, 何建佳, 韩景倜, 等. 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): 920.
LIU J S, HE J J, HAN J T, et al. A review of the research status and progerss of opinion dynamics[J]. Complex Systems and Complexity Science, 2021, 18(2): 920.
[9] OLSON J M, ZANNA M P. A new look at selective exposure[J]. Journal of Experimental Social Phychology, 1979, 15(1): 115.
[10] YU Y, XIAO G, LI G, et al. Opinion diversity and community formation in adaptive networks.[J]. Chaos, 2017, 27(10): 103115.
[11] JIAO Y, LI Y. An active opinion dynamics model: the gap between the voting result and group opinion[J]. Information Fusion, 2021, 65: 128146.
[12] JALILI M. Social power and opinion formation in complex networks[J]. Physica A: Statistical Mechanics and Its Applications, 2013, 392(4): 959966.
[13] JIA P, ANAHITA M, FRIEDKIN N, et al. Opinion dynamics and the evolution of social power in influence networks[J]. SIAM Review, 2015, 57: 367397.
[14] 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): 3039.
YU T Y, XIAO R B, HOU J D. Modeling and simulation of online public opinion structure reversal: based on an improved deffuant model[J]. Complex Systems and Complexity Science, 2019, 16(3): 3039.
[15] ZHAO Y, KOU G, PENG Y, et al. Understanding influence power of opinion leaders in e-commerce networks: An opinion dynamics theory perspective[J]. Information Sciences, 2018, 426: 131147.
[16] 陈曦, 明聪, 涂琴. 谣言传播中PA-BDI个体模型的研究[J]. 计算机工程与应用, 2011, 47(31): 4043.
CHEN X, MING C, TU Q. Modeling study on PA-BDI agent in rumors spreading[J]. Computer Engineering and Applications, 2011, 47(31): 4043.
[17] SAVAGE M, DEVINE F, CUNNINGHAM N, et al. A new model of social class? Findings from the BBC′s Great British class survey experiment[J]. British Dental Journal, 2013, 47(2): 219250.
[18] STEPHENS N, MARKUS H, PHILLIPS L. Social class culture cycles: How three gateway contexts shape selves and fuel inequality[J]. Annual Review of Psychology, 2014, 65(1): 611634.
[19] 郭永玉, 杨沈龙, 李静, 等. 社会阶层心理学视角下的公平研究[J]. 心理科学进展, 2015, 23(8): 12991311.
GUO Y Y, YANG S L, LI J, et al. Social fairness researches in perspectives of social class psychology[J]. Advances in Psychological Science, 2015, 23(8): 12991311.
[20] RUCK D, GALINSKY A. Social power and social class: conceptualization, consequences, and current challenges[J]. Current Opinion in Psychology, 2017, 18: 2630.
[21] CHENG J, TRACY J. Two ways to the top: evidence that dominance and prestige are distinct yet viable avenues to social rank and influence.[J]. Journal of Personality and Social Psychology, 2013, 104(1): 10325.
[22] KOU G, ZHAO Y, PENG Y, et al. Multi-level opinion dynamics under bounded confidence.[J]. PLoS ONE, 2017, 7(9): e43507.
[23] BOURDIEU P. Distinction[M]. Boston: Harvard University Press, 1984.
[24] 赵海均. 什么在左右中国经济[M]. 北京: 中国财政经济出版社, 2000.
[25] 陆学艺. 当代中国社会阶层研究报告[M]. 北京: 社会科学文献出版社, 2002.
[26] 米尔斯. 权力精英[M]. 南京: 南京大学出版社, 2004.
[27] CARDEN A. The fortune at the bottom of the pyramid: eradicating poverty through profits-by C K Prahalad[J]. Economic Affairs, 2010, 28(4): 8991.
[28] 韩春清. 试论中国社会的中产阶层及“橄榄型”社会结构的形成[J]. 知识经济, 2009(2): 8485.
HAN C Q. The formation of middle class and “olive-shaped” social structure in Chinese society[J]. Knowledge Economic, 2009(2): 8485.
[29] ERDOS P, RENYI A. On random graphs[J]. Publications Mathematicae, 1959, 6: 290297.
[30] WATTS D J, STROGATZ S H. Collective dynamics of ‘small-world’ networks[J]. Nature, 1998, 393(6684): 4402.
[31] BARABSI A, ALBERT R. Emergence of scaling in random networks[J]. Science, 1999, 286(5439): 509512.
[32] MCAULEY J, LESKOVEC J. Learning to discover social circles in ego networks[C]. NIPS 2012. Lake Tahoe, USA:539547.
[33] CHEN D, LU L, SHANG M, et al. Identifying influential nodes in complex networks[J]. Physica A: Statistical Mechanics and Its Applications, 2012, 391(4): 17771787.
[34] ABEL T. Cultural capital and social inequality in health[J]. Journal of Epidemiology and Community Health, 2008, 62(7): e13.
[35] LORENZ J. Heterogeneous bounds of confidence: meet, discuss and find consensus![J]. Complexity, 2010, 15(4): 4352.
[36] HAN W, HUANG C, YANG J. Opinion clusters in a modified Hegselmann-Krause model with heterogeneous bounded confidences and stubbornness[J]. Physica A: Statistical Mechanics and Its Applications, 2019, 531: 121791.
[37] DONG Y, DING Z, MARTINEZ L, et al. Managing consensus based on leadership in opinion dynamics[J]. Information Sciences, 2017, 397/398: 187205.
[38] 皮凯蒂. 21世纪资本论[M]. 北京: 中信出版社, 2014.
[39] BOXELL L, GENTZKOW M, JESSE M S. Greater internet use is not associated with faster growth in political polarization among US demographic groups[J]. Proceedings of the National Academy of Sciences, 2017, 114(40): 1061210617.
[40] ABRAMOWITZ A I, SAUNDERS K L. Is polarization a myth?[J]. Journal of Politics, 2008, 70(2): 542555.
[41] MUNZERT S, BAUER P C. Political depolarization in German public opinion, 19802010[J]. Political Science Research & Methods, 2013, 1(1): 6789.
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