[1]田世海, 孙美琪, 张家毓. 基于贝叶斯网络的自媒体舆情反转预测[J]. 情报理论与实践,2019,(2):1-10.
Tian Shihai, Sun Meiqi, Zhang Jiayu. Pridiction of we-media public reversion based on Bayesian network[J]. Information Studies: Theory & Application,2019,(2): 1-10.
[2]韩旭. 探析网络“舆论反转”现象出现的成因及对策——以“狗嘴下救女童系谎言”事件为例[J]. 西部学刊(新闻与传播), 2016,(4): 2428.
Han Xu. Research on the causes and countermeasures of the network "public opinion reversion"[J]. Journal of Western, 2016,(4): 2428.
[3]袁野, 兰月新, 张鹏, 等. 基于系统聚类的反转网络舆情分类及预测研究[J]. 情报科学, 2017, 35(9): 5460.
Yuan Ye, Lan Yuexin, Zhang Peng, et al. Research on the classification and forecast of reversal network public opinionbased on cluster analysis[J]. Information Science, 2017, 35(9): 5460.
[4]夏一雪, 兰月新, 刘茉, 等. 大数据环境下网络舆情反转机理与预测研究[J]. 情报杂志, 2018, 37(8): 9296.
Xia Yixue, Lan Yuexin, Liu Mo, et al. Inversion mechanism and prediction of network public opinion in big data environment[J]. Journal of Intelligence, 2018, 37(8): 9296.
[5]敖阳利. 传播学视阈下舆情反转事件研究[J]. 新闻研究导刊, 2015, 6(23): 138139.
Ao Yangli. Research on the reversion of public opinion in the perspective of communication[J]. Journal of News Research, 2015, 6(23): 138139.
[6]史若天. 从突发事件网络舆情的流变过程浅析网民心理特征——以“5·3成都女司机被打”事件为例[J]. 新媒体研究, 2016, 2(12): 1617.
Shi Ruotian. Analyzing the psychological characteristics of netizens from the process of emergency network sensation[J]. New Media Research, 2016, 2(12): 1617.
[7]梁舞, 李劭强. 自媒体环境下议程设置的弱化分析——基于舆论领域反转、搭车、站队的视角[J]. 管理观察, 2015,(33): 2426.
Liang Wu, Li Shaoqiang. Weakening analysis of agenda setting in the media environment[J]. Management Observer, 2015,(33): 2426.
[8]黄远, 刘怡君. 网络舆论反转效应研究[J]. 管理评论, 2016, 28(8): 7178.
Huang Yuan, Liu Yijun. Studies on online public opinion inversion effect[J]. Management Review, 2016, 28(8): 7178.
[9]张华. 网络舆情反转现象中的“参照点效应”——基于对“大学生掏鸟窝获刑十年半”微博舆情的研究[J]. 新闻界, 2016,(7): 2832.
Zhang Hua. "Reference point effect" in the network reversal phenomenon[J]. Journalism and Mass Communication Monthly, 2016,(7): 2832.
[10] 王玉龙. 舆情反转:突发事件过程中网络群体极化的角色研究——基于“天价鱼事件”的分析[J]. 电子政务, 2016,(5): 1624.
Wang Yulong. Opinion reversion: the role of network group polarization in the process of emergencies. E-Government, 2016,(5): 1624.
[11] Corning P A. The re-emergence of "emergence" : a venerable concept in search of a theory[J]. Complexity, 2010, 7(6): 1830.
[12] 王龙, 田野, 杜金铭. 社会网络上的观念动力学[J]. 中国科学:信息科学, 2018, 48(1): 323.
Wang Long, Tian Ye, Du Jinming. Opinion dynamics on social networks[J]. Scientia Sinica(Informationis), 2018, 48(1): 323.
[13] Ronzanova L, Boguna M. Dynamics properties of the herding voter model with and without noise[J]. Physical Review E, 2017, 96(1): 18.
[14] Krawiecki A. Stochastic resonance in the majority vote model on regular and small-world lattices[J]. International Journal of Modern Physics B, 2017, 31(29): 114.
[15] Lima F W S. Transition under noise in the Sznajd model on square lattice[J]. International Journal of Modern Physics C, 2016, 27(3): 18.
[16] Hegselmann R, Krause U. Opinion dynamics and bounded confidence: models, analysis and simulation[J]. Journal of Artificial Societies and Social Simulation, 2002, 5(3): 134.
[17] Deffuant G, Neau D, Amblard F. Mixing beliefs among interacting agents[J]. Advances in Complex Systems, 2000, 3(1): 8798.
[18] Krueger T, Szwabinski J, Weron T. Conformity, anticonformity and polarization of opinions: insights from a mathematical model of opinion dynamics[J]. Entropy, 2017, 19(7): 371392.
[19] Castellano C, Fortunato S, Loreto V. Statistical physics of social dynamics[J]. Review of Modern Physics, 2007, 81(2): 591646.
[20] 朱张祥, 刘咏梅. 在线社交网络谣言传播的仿真研究——基于聚类系数可变的无标度网络环境[J]. 复杂系统与复杂性科学, 2016, 13(2): 7482.
Zhu Zhangxiang, Liu Yongmei. Simulation study of propagation of rumor in online social network based on scale-free network with tunable clustering[J]. Complex Systems and Complexity Science, 2016, 13(2): 7482.
[21] Barabasi A L, Albert R. Emergence of scaling in random networks[J]. Science, 1999, 286(5439): 509512.
[22] Newman M E J. The structure and founction of complex networks[J]. SIAM Review, 2003, 45(2): 167256.
[23] Albi G, Pareschi L, Zanella M. Opinion dynamics over complex network: kinetic modeling and numerical methods[J]. Kinetic and Related Models, 2017, 10(1): 132.
[24] Lazarsfield P. The People’s Choice[M]. New York: Columba University Press, 1948:434445.
[25] 徐恪, 张赛, 陈昊, 等. 在线社会网络的测量与分析[J]. 计算机学报, 2014, 37(1): 165188.
Xu Ke, Zhang Qian, Chen Hao, et al. Measurement and analysis of online social networks[J]. Chinese Journal of Computers, 2014, 37(1): 165188.
[26] Van Der Merwe R, Van Heerden G. Finding and utilizing opinion leaders: social networks and the power of relationships[J].South African Journal of Business Management, 2009, 40(3): 6575.
[27] 谌志群, 徐宁, 王荣波. 基于主题演化图的网络论坛热点跟踪[J]. 情报科学, 2013, 31(3): 147150.
Chen Zhiqun, Xu Ning, Wang Rongbo. BBS hot topic tracking based on theme evolution graph[J]. Information Science, 2013, 31(3): 147150.
[28] Singh P, Sreenivasan S, Szymanski B K. Accelerating consensus on co-evolving networks: the effect of committed individuals[J]. Physical Review E, 2012, 85(4): 13241340.
[29] Barreira da Silva Rocha A. Social outcomes due to the interplay between language competition and ideology struggle[J]. Physica A: Statistical Mechanics and its Applications, 2018, 492: 13401351.
[30] Biondo A E, Pluchino A, Rapisarda A. Modeling surveys effects in political competitions[J]. Physica A: Statistical Mechanics and its Applications, 2018, 503: 714726.
