Evolution Model and Empirical Research of Group Opinion in Knowledge Collaboration on Open Interactive Platform
YUE Fang1, ZHANG Han1, FAN Maorui1, DAI Wenhui1, GUO Jianfeng2
1. Business School, Guilin University of Electronic Technology, Guilin 541004, China; 2. Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
Abstract：The spontaneously formed network in the knowledge collaboration of open interaction platforms is extremely complex and large-scale. Therefore, a stochastic process model is proposed to simulate the evolution process of group opinions. The method of network decomposition and spectral clustering algorithm are used to decompose the network into subgroups of different levels. For different types of rule networks, the transition probability matrix and its recurrence formula are given to realize the extension of similar structures. Then, the evolution process of opinions in groups with different structures is simulated while keeping the proportion of opinions unchanged. Finally, an opinion diversity index is proposed to examine the “echo chamber effect”, which considers the influence of adjacent nodes’ opinions. Simulation and empirical results show that the distribution of opinions among adjacent nodes can influence individual preferences, leading to local polarization phenomena, which verifies the effectiveness of the model and index. This model and index help to explain the evolution mechanism of opinions in complex networks, and lay a foundation to improve the quality of knowledge service.
岳芳, 张涵, 樊茂瑞, 戴文慧, 郭剑锋. 开放式交互平台知识协同中的群体观点演化模型与实证[J]. 复杂系统与复杂性科学, 2026, 23(2): 8-18.
YUE Fang, ZHANG Han, FAN Maorui, DAI Wenhui, GUO Jianfeng. Evolution Model and Empirical Research of Group Opinion in Knowledge Collaboration on Open Interactive Platform[J]. Complex Systems and Complexity Science, 2026, 23(2): 8-18.
[1] 刘合翔,王松,王卫霞.开放式创新社区知识创新能力的量化与评价研究——以小米社区产品圈子为例[J].情报杂志,2022,41(10):170-180,188. LIU H X, WANG S, WANG W X. Quantification and evaluation of the knowledge innovation capability of open innovation communities: using product circles in Xiaomi community as an example[J]. Journal of Intelligence, 2022,41(10):170-180,188. [2] 董睿,张海涛,苏欣宇.开放式创新社区用户知识协同创新网络演化分析[J].现代情报,2022,42(10):15-26. DONG R, ZHANG H T, SU X Y. Evolution analysis of user knowledge collaborative innovation network in open innovation community[J]. Journal of Modern Information, 2022,42(10):15-26. [3] 单晓红,王春稳,刘晓燕,等.基于知识网络的开放式创新社区知识发现研究[J].复杂系统与复杂性科学,2020,17(1):62-70,94. SHAN X H,WANG C W,LIU X Y, et al. Research on knowledge discovery of open innovation community based on knowledge network[J].Complex Systems and Complexity Science,2020,17(1):62-70,94. [4] 吉海颖,戚桂杰,李娜.开放式创新平台用户交互对隐性社区的影响研究[J].图书情报工作,2022,66(5):105-115. JI H Y, QI G J, LI N. Research on the influence of user interaction on implicit communities in open innovation platforms[J]. Library and Information Service, 2022,66(5):105-115. [5] 裘江南,蔡承杰,杨畅,等.OKC中社会系统与知识系统不同层面交互序化影响——基于VAR模型的实证分析[J].情报学报,2021,40(5):435-447. QIU J N, CAI C J, YANG C, et al. Research on the interaction of collaborative order at different levels of social system and knowledge system in OKC:an empirical analysis based on a VAR model[J]. Journal of the China Society for Scientific and Technical Information, 2021,40(5):435-447. [6] CHENG Q, CHANG Y. Influencing factors of knowledge collaboration effects in knowledge alliances[J]. Knowledge Management Research & Practice, 2020, 18(4): 380-393. [7] 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. [8] 焦媛媛,李智慧.同侪影响的内涵、产生机理及其在管理学中的研究展望——基于社交网络情境[J].南开管理评论,2020,23(1):213-224. JIAO Y Y, LI Z H. A Research on the connotation and formation mechanism of peer influence and its prospects in the field of management:based on the online social networking context[J]. Nankai Business Review, 2020,23(1):213-224. [9] 喻国明,张剑峰,朱翔.后真相时代:真相认同与社会共识的可能——行为经济学视角下个体认知的类型与效用机制[J].教育传媒研究,2022,(5):6-10. YU G M, ZHANG J F, ZHU X. The post-truth era: possibilities of truth alignment and social consensus: types and utility mechanisms of individual cognition from a behavioral economics perspective[J]. Journal of Education and Media Studies,2022,(5):6-10. [10] MORADI M, ZIHAGH F. A meta-analysis of the elaboration likelihood model in the electronic word of mouth literature[J]. International Journal of Consumer Studies, 2022, 46(5): 1900-1918. [11] BURE V M, PARILINA E M, SEDAKOV A A. Consensus in a social network with two principals[J]. Automation and Remote Control, 2017, 78(8): 1489-1499. [12] BOLZERN P, COLANERI P, DE NICOLAO G. Opinion influence and evolution in social networks: a Markovian agents model[J]. Automatica, 2019, 100: 219-230. [13] VARMA V S, MORARESCU I C, AYOUNI M. Analysis of opinion dynamics under binary exogenous and endogenous signals[J]. Nonlinear Analysis: Hybrid Systems, 2020, 38: 100910. [14] 吴锋,杨晓萍.算法推荐背景下用户媒介使用对“回音室”效应的影响研究——兼论媒介素养的调节作用[J].西南民族大学学报(人文社会科学版),2022,43(5):142-146. WU F, YANG X P. Research on the impact of user media usage on the 'echo chamber' effect in the context of algorithmic recommendations: with a discussion on the moderating role of media literacy[J]. Journal of Southwest Minzu University (Humanities and Social Sciences Edition), 2022,43(5):142-146. [15] 姜婷婷,许艳闰.窄化的信息世界:国外信息茧房、选择性接触与回音室研究进展[J].图书情报知识,2021,38(5):134-144. JIANG T T, XU Y R. Narrowed information universe: a review of research on information cocoons, selective exposure, and echo chambers[J]. Documentation, Information& Knowledge, 2021,38(5):134-144. [16] 肖人彬,张轩宇.社会集群行为中观点极化研究进展——以偏见同化和敌意媒体效应为中心[J].复杂系统与复杂性科学,2023,20(4):1-9,17. XIAO R B, ZHANG X Y. Research progress of opinion polarization in social collective behavior: centered on biased assimilation and the hostile media effects[J]. Complex Systems and Complexity Science, 2023, 20 (4): 1-9,17. [17] GAO Y, LIU F, GAO L. Echo chamber effects on short video platforms[J]. Scientific Reports, 2023, 13(1): 6282. [18] 高艺畅,孙英苹,刘凤鸣,等.社交网络舆情传播的回音室效应研究[J].情报理论与实践,2022,45(4):58-66. GAO Y C, SUN Y P, LIU F M, et al. Echo chamber effects of public opinion propagation in social networks[J]. Information Studies: Theory & Application, 2022,45(4):58-66. [19] 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/OL].[2024-05-16]. https://doi.org/10.16381/j.cnki.issn1003-207x.2023.0247. ZENG Z L, HU B, WANG Z C, et al. The resilience and sudden change mechanism of group opinion in online community[J/OL].[2024-05-16]. https://doi.org/10.16381/j.cnki.issn1003-207x.2023.0247. [20] 张海涛,周红磊,张鑫蕊,等. 在线社交网络的社区发现研究进展[J]. 图书情报工作, 2020, 64 (9): 142-152. ZHANG H T, ZHOU H L, ZHANG X R, et al.Research progress in community detection of online social networks[J]. Library and Information Service, 2020, 64 (9): 142-152. [21] 张继东,蔡雪. 基于社区划分和用户相似度的好友信息服务推荐研究[J]. 情报理论与实践, 2019, 42 (4): 151-157,165. ZHANG J D, CAI X. Research on friend information service recommendation based on community division and user similarity[J]. Information Studies: Theory & Application, 2019, 42 (4): 151-157,165. [22] 张书涛,杨志强,王世杰,等. 基于复杂网络的用户社区子群需求聚类模型[J]. 浙江大学学报(工学版), 2023, 57 (9): 1843-1855,1875. ZHANG S T, YANG Z Q, WANG S J, et al.Clustering model of user community subgroup’s demand based on complex networks[J]. Journal of Zhejiang University(Engineering Science), 2023, 57 (9): 1843-1855,1875. [23] HUANG Z, WU J, ZHU W, et al. Visualizing complex networks by leveraging community structures[J]. Physica A: Statistical Mechanics and Its Applications, 2021, 565: 125506. [24] 白云,李白杨,毛进,等.舆论场观点极化现象研究:成因、识别与应对策略[J].图书情报知识,2022,39(6):89-100. BAI Y, LI B Y, MAO J, et al. The phenomenon of the public opinion polarization: causes, identification and counter measures[J]. Documentation, Information & Knowledge, 2022,39(6):89-100. [25] 卢国强,黄微,刘毅洲.群体极化视域下突发事件网络舆情极端观点识别研究[J].情报资料工作,2023,44(1):42-51. LU G Q, HUANG W, LIU Y Z. Research on recognition of extreme viewpoints of online public opinion in emergency events from the perspective of group polarization[J]. Information and Documentation Services, 2023,44(1):42-51. [26] WILLIAMS H T P, MCMURRAY J R, KURZ T, et al. Network analysis reveals open forums and echo chambers in social media discussions of climate change[J]. Global Environmental Change, 2015, 32: 126-138. [27] 赖胜强,唐雪梅.基于ELM理论的社会化媒体信息转发研究[J].情报科学,2017,35(9):96-101. LAI S Q, TANG X M. Research on social media information retransmission based on ELM theory[J]. Information Science, 2017, 35(9): 96-101. [28] 岳芳,顾新建,祁国宁,等.协同创作过程中的子群决策随机过程模型[J].计算机集成制造系统,2015, 21(1):21-30. YUE F, GU X J, QI G N, et al. Subgroup decision-making stochastic process model of collaborative building[J]. Computer Integrated Manufacturing Systems, 2015, 21(1):21-30.
