专题:社交媒体群体行为演化与治理

面向网络社会治理的在线群体观点演化解析与引导路径研究

  • 刘嘉宇 ,
  • 李贺 ,
  • 沈旺 ,
  • 时倩如 ,
  • 杨心苗
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  • 吉林大学商学与管理学院 长春 130012
刘嘉宇,助理研究员,博士,鼎新博士后;李贺,教授,博士,博士生导师,通信作者,E-mail:lihe200303@163.com;沈旺,教授,博士,博士生导师;时倩如,博士研究生;杨心苗,博士研究生。

收稿日期: 2024-11-27

  修回日期: 2025-03-02

  网络出版日期: 2025-11-20

基金资助

本文系2024年国家自然科学基金青年项目“基于复杂系统层次演化的社交媒体群体行为演化机制及特殊行为群体发现研究”(项目编号:72304111)研究成果之一。

Research on the Analysis and Guidance of Online Group Opinion Evolution for Network Social Governance

  • Liu Jiayu ,
  • Li He ,
  • Shen Wang ,
  • Shi Qianru ,
  • Yang Xinmiao
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  • School of Business and Management, Jilin University, Changchun 130012
Liu Jiayu, Assistant Research Fellow, PhD, Dingxin Postdoc; Li He, Professor, PhD, Doctoral Supervisor, Corresponding Author, E-mail: lihe200303@163.com; Shen Wang, Professor, PhD, Doctoral Supervisor; Shi Qianru, Doctoral Candidate; Yang Xinmiao, Doctoral Candidate.

Received date: 2024-11-27

  Revised date: 2025-03-02

  Online published: 2025-11-20

Supported by

This work is supported by the youth project of National Natural Science Foundation of China, titled “Research on the Evolutionary Mechanism of Social Media Group Behavior and the Discovery of Special Behavior Groups Based on System Hierarchy Evolution” (Grant No. 72304111).

摘要

[目的/意义] 梳理在线群体观点演化国内外研究现状,针对当前研究存在不足提出引导路径,为网络社会治理提供参考。[方法/过程] 在述评国内外相关研究基础上,结合中观群体视角、复杂网络前沿技术、情景意识理论和实证驱动下的观点动力学,解析在线群体观点演化研究,构建面向网络社会治理的在线群体观点演化引导路径模型。[结果/结论] 模型提出的“分级引导”“弹性引导”“推拉引导”三阶段差异化策略,能够有效应对网络社会治理中主体识别、结构复杂与场景模糊问题;“数据—知识—情报—决策”闭环框架,实现了从观点演化分析到网络社会治理策略的动态转化。

本文引用格式

刘嘉宇 , 李贺 , 沈旺 , 时倩如 , 杨心苗 . 面向网络社会治理的在线群体观点演化解析与引导路径研究[J]. 图书情报工作, 2025 , 69(23) : 46 -57 . DOI: 10.13266/j.issn.0252-3116.2025.23.004

Abstract

[Purpose/Significance] Sorting out the current research status and shortcomings of online group opinion evolution both domestically and internationally aims to propose a guidance path for its development, and provide a reference for the governance of online society. [Method/Process] Based on a review of relevant research, it reconstructed the online group opinion evolution survey by combining a meso-group perspective, cutting-edge technologies in complex networks, situational awareness theory, and empirically driven opinion dynamics. It constructed a path model for guiding the evolution of online group opinion for network social governance. [Result/Conclusion] Based on the model in this paper, it proposes the three-stage differentiated strategy of “graded guidance,” “resilient guidance,” and “push-pull guidance,” which can be used to effectively address issues of identity recognition, structural complexity, and ambiguous contexts within the governance of network societies. Additionally, the closed-loop framework of “data-knowledge-intelligence-decision” facilitates the dynamic transformation from analysis of opinion evolution to strategies for governing network societies.

参考文献

[1] 汤天甜, 应春茜. 扎根互动活性的社交舆情: 生存特征与扩散机制[J]. 现代视听, 2020(2): 44-47. (TANG T T, YING C Q. Social public opinion rooted in interactive activity: survival characteristics and diffusion mechanisms[J]. Modern audio-Video arts, 2020(2): 44-47.)
[2] MACKIE D M, DEVO T, SMITH E R. Intergroup emotions: explaining offensive action tendencies in an intergroup context[J]. Journal of personality and social psychology, 2000, 79(4): 602- 616.
[3] 米元哲. 基于大数据时代网络舆情与社会治理研究[J]. 国际公 关, 2023(23): 107-109. (MI Y Z. Research on network public opinion and social governance in the era of big data[J]. Pr magazine, 2023(23): 107-109.)
[4] LUO H, MENG X, ZHAO Y F, et al. Rise of social bots: The impact of social bots on public opinion dynamics in public health emergencies from an information ecology perspective[J]. Telematics and informatics, 2023, 85: 1-29.
[5] 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): 9-20. (LIU J S, HE J J, HAN J T, et al. A review of the research status and progress of opinion dynamics[J]. Complex systems and complexity science, 2021, 18(2): 9-20.)
[6] 中国科学院学部重大咨询项目子课题“ 信息技术支撑网络社会治理现代化战略研究” 课题组, 管晓宏, 房超, 等. 数字政府赋能网络治理的挑战与应对[J]. 国家治理, 2023(16): 51-55. (The sub project of the major consulting project of the Chinese Academy of Sciences, GUAN X H, FANG C, et al. The challenges and responses of empowering network governance with digital government[J]. Governance, 2023(16): 51-55.)
[7] WANG W T, HE Y L, HUANG J Z, et al. A new approach to solve opinion dynamics on complex networks[J]. Expert systems with applications, 2020, 145: 113132.
[8] 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 Z Z, XIAO J H, ZHOU J L, 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.)
[9] WATTS A. Complex social networks[J]. Journal of economic literature, 2008, 46(1): 192-193.
[10] 韩菁, 蔡寻, 滕新玉. 社交网络中新产品推广策略两阶段博弈演化分析[J]. 系统工程学报, 2022, 37(3): 317-329, 343. (HAN J, CAI X, TENG X Y. Evolutionary analysis of the new products promotion strategy in social networks based on two-stage game model[J]. Journal of systems engineering, 2022, 37(3): 317-329, 343.)
[11] SINGH M S, PASUMARTHY R, VAIDYA U. On quantification and maximization of information transfer in network dynamical systems[J]. Scientific reports, 2023, 13(1): 5588(2023).
[12] 沈旺, 时倩如, 王俊尧, 等. 基于超图的在线社交网络信息传播模型研究[J]. 情报学报, 2023, 42(3): 354-364. (SHEN W, SHI Q R, WANG J Y, et al. Information dissemination model used in online social networks based on hypergraphs[J]. Journal of the China Society for Scientific and Technical Information, 2023, 42(3): 354-364.)
[13] SU Y, ZHANG X, LIU L, et al. Understanding information interactions in diffusion: an evolutionary game-theoretic perspective[J]. Frontiers of computer science, 2016, 10(3): 518- 531.
[14] 余韦, 章金楠, 朱梦丽, 等. 基于符号网络社团检测的舆情情报分析方法研究[J]. 情报杂志, 2022, 41(5): 55-60, 161. (YU W, ZHANG J N, ZHU M L, et al. Research on analysis method of public opinion intelligence based on signed network community detection[J]. Journal of intelligence, 2022, 41(5): 55- 60, 161.)
[15] YUAN S J, ZENG H F, ZUO Z Y, et al. Overlapping community detection on complex networks with graph convolutional networks[J]. Computer communications, 2022, 199: 62-71.
[16] 陈玉萍, 刘嘉毅, 冯加付. 体育赛事危机事件网络舆情演化的动力因素、演化机理与应对策略[J]. 成都体育学院学报, 2023, 49(4): 48-55. (CHEN Y P, LIU J Y, FENG J F. Driving factors, evolution mechanism and response strategies of online public opinion in sports event crisis: taking Gansu mountain marathon as an example[J]. Journal of Chengdu Sport University, 2023, 49(4): 48-55.)
[17] LIU X Y, LIU C. Information diffusion and opinion leader mathematical modeling based on microblog[J]. IEEE access, 2018, 6: 34736-34745.
[18] 杨沁蓉, 朱光, 雍华贵. 基于主题- 情感融合模型的网络舆情演化研究——以“ 钟薛高雪糕事件” 为例[J]. 情报探索, 2023(8): 111-119. (YANG Q R, ZHU G, YONG H G. Research on the evolution of online public opinion based on the themeemotion fusion model: case study of the“Zhong Xue Gao ice cream incident”[J]. Information research, 2023(8): 111-119.)
[19] BERMES A. Information overload and fake news sharing: a transactional stress perspective exploring the mitigating role of consumers’ resilience during COVID-19[J]. Journal of retailing and consumer services, 2021, 61: 102555.
[20] 童玉珍, 王应明. 基于犹豫模糊集的网络舆情突发事件应急群决策方法[J]. 计算机系统应用, 2019, 28(9): 9-17. (TONG Y Z, WANG Y M. Emergency group decision making method for internet public opinion outbreak based on hesitant fuzzy sets[J]. Computer systems & applications, 2019, 28(9): 9-17.)
[21] XIAO R B, LI J, CHEN T G. Modeling and intelligent optimization of social collective behavior with online public opinion synchronization[J]. International journal of machine learning and cybernetics, 2019, 10(8): 1979-1996.
[22] 刘丰军, 裘江南, 张野. OKC协同知识建构中群体共识影响因素研究——群体结构的调节作用[J]. 科学学研究, 2016, 34(10): 1448-1457. (LIU F J, QIU J N, ZHANG Y. Exploring the influencing factors of group consensus in OKC collaborative knowledge building based on the moderated effects of group structure[J]. Studies in science of science, 2016, 34(10): 1448- 1457.)
[23] 薛翔, 马海云, 赵宇翔, 等. 活动理论视角下的老年群体数字融入结构与路径研究[J]. 图书情报知识, 2022, 39(6): 78-88. (XUE X, MA H Y, ZHAO Y X, et al. The structure and path of digital integration of elderly groups based on activity theory[J]. Documentation, information & knowledge, 2022, 39(6): 78-88.)
[24] 魏静, 张耀曾, 朱恒民, 等. 基于改进Deffuant模型的舆情观点演化解析[J]. 管理评论, 2022, 34(9): 147-157. (WEI J, ZHANG Y Z, ZHU H M, et al. An analysis of the evolvement of public opinion based on the improved deffuant model[J]. Management review, 2022, 34(9): 147-157.)
[25] 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-statisyical mechanics and its applications, 2015, 419: 558-565.
[26] 曾紫琳, 胡斌, 王智超, 等. 网络社区群体观点演化的弹性与突变机制[J]. 中国管理科学, 2023, 33(9): 161-176. (ZENG Z L, HU B, WANG Z C, et al. The resilience and sudden change mechanism of group opinion in online community[J]. Chinese journal of management science, 2023, 33(9): 161-176.)
[27] 安璐, 周凡倩. 突发事件情境下冲突观点与重叠共识研究[J]. 情报理论与实践, 2023, 46(9): 69-78. (AN L, ZHOU F Q. Research on conflicting opinions and overlapping consensus in the public emergency situation[J]. Information studies: theory & application, 2023, 46(9): 69-78.)
[28] XIE Z L, WENG W G, PAN, Y F, et al. Public opinion changing patterns under the double-hazard scenario of natural disaster and public health event[J]. Information processing & management, 2023, 60(3): 103287.
[29] XIONG F, WANG X M, PAN S R, et al. Social recommendation with evolutionary opinion dynamics[J]. IEEE transactions on systems man cybernetics-systems, 2020, 50(10): 3804-3816.
[30] 王仕勇, 余佳琦. 网络圈群现象研究综述[J]. 情报杂志, 2022, 41(5): 86-91. (WANG S Y, YU J Q. Literature review of network circle group phenomenon[J]. Journal of intelligence, 2022, 41(5): 86-91.)
[31] 李振鹏, 唐锡晋, 杨健, 等. 基于一种概率阈值模型的群体观点动向研究[J]. 系统工程理论与实践, 2018, 38(2): 492-501. (LI Z P, TANG X J, YANG J, et al. A study on group opinion dynamics probabilistic threshold model[J]. Systems engineeringtheory & practice, 2018, 38(2): 492-501.)
[32] 吴伟民. 从新冠肺炎疫情初期的舆情、民情、社情变化浅谈主流媒体的舆论引导作用[J]. 新闻文化建设, 2021(3): 154- 156. (WU W M. Discussion on the leading role of mainstream media in public opinion from the changes of public opinion, public sentiment and social sentiment at the initial stage of the COVID-19[J]. News culture construction, 2021(3): 154-156.)
[33] ENDSLEY M R. Toward a theory of situation awareness in dynamic systems[J]. Human factors, 1995, 37(1): 32-64.
[34] “ 科学探索奖” 得主吕琳媛: 探索网络高阶结构, 破解复杂系 统难 题[EB/OL]. [2025-03-29]. https://zhuanlan.zhihu.com/p/589172388(Lv Linyuan, winner of the "scientific exploration award": exploring higher-order structures in networks and solving complex system problems [EB/OL]. [2025-03-29]. https://zhuanlan.zhihu.com/p/589172388)
[35] 周洪, 魏凤, 王辉. 基于高阶网络的三元技术融合过程和预测研究[J]. 情报理论与实践, 2023, 46(12): 149-156, 182. (ZHOU H, WEI F, WANG H. Process analysis and prediction of triple technology convergence based on higher-order network[J]. Information studies: theory &application, 2023, 46(12): 149-156, 182.)
[36] MAJHI S, PERC M, GHOSH D. Dynamics on higher-order networks: a review[J]. Journal of the royal society interface, 2022, 19(188): 20220043.
[37] 卢天娇, 汤梦晗, 江涛, 等. 飞行员情景意识的影响因素剖析: 基于Endsley的三级理论[J]. 应用心理学, 2020, 26(3): 195- 207. (LU T J, TANG M H, JIAN T, et al. Factors affecting pilot's situation awareness: an analysis based on the Endsley's theory of three-level[J]. Chinese journal of applied psychology, 2020, 26(3): 195-207.)
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