[1] Daley D J, Kendall D G. Epidemics and rumors[J]. Nature, 1964, 204(4963): 1118.
[2] Maki D P, Thompson M. Mathematical Models and Applications: with Emphasis on the Social, Life and Management Sciences[M]. Englewood Cliffs: Prentice-Hall, 1973.
[3] 陈波,于泠,刘君亭,等.泛在媒体环境下的网络舆情传播控制模型[J].系统工程理论与实践, 2011, 31(11): 2140-2150.
Chen B, Yu L, Liu J T, et al. Dissemination and control model of internet public opinion in the ubiquitous media environments[J]. Systems Engineering-Theory & Practice, 2011, 31(11): 2140-2150.
[4] 丁学君.基于 SCIR的微博舆情话题传播模型研究[J].计算机工程与应用, 2015, 51(8): 20-26,78.
Ding X J. Research on propagation model of public opinion topics based on SCIR in microblogging[J]. Computer Engineering and Applications, 2015, 51(8): 20-26,78.
[5] 陈福集,陈婷.基于SEIRS 传播模型的网络舆情衍生效应研究[J].情报杂志, 2014, 33(2): 108-113,160.
Chen F J, Chen T. Research on derivative effects of network public opinions based on SEIRS propagation model[J]. Journal of Intelligence, 2014, 33(2): 108-113,160.
[6] 兰月新,董希琳,曾润喜,等. 信息异化视角下网络舆情衍生效应模型研究[J]. 情报杂志, 2015, 34(1): 6.
Lan Y X, Dong X L, Zeng R X, et al. Research on effects model of derivative of network public opinion from the perspective of information alienation[J]. Journal of Intelligence, 2015, 34(1): 6.
[7] 崔金栋,郑鹊,孙硕.基于改良SEIR 模型的微博话题式信息传播研究[J].情报科学,2017, 35(12): 22-27.
Cui J D, Zheng J, Sun S. Research on micro-blog topic information dissemination based on improved SEIR model[J]. Information Science, 2017, 35(12): 22-27.
[8] 张琳,陈荔.多主体干预的微博舆情话题交互传播模型研究[J].情报科学,2022, 40(11): 49-55.
Zhang L, Chen L. Study on the interactive dissemination model of micro-blog public opinion topics under multi-agent intervention[J]. Information Science, 2022, 40(11): 49-55.
[9] 王筱莉,张静,赵来军,等.基于改进SEIR模型的微博舆情衍生话题传播研究[J].信息资源管理学报, 2022, 12(4): 95-104,120.
Wang X L, Zhang J, Zhao L J, et al. Research on microblog public opinion derived topic communication based on improved SEIR model[J]. Journal of Information Resources Management, 2022, 12(4): 95-104,120.
[10] Li M, Jiang Y X, Di Z R. Characterizing the importance of nodes with information feedback in multilayer networks[J]. Information Processing & Management, 2023, 60(3): 103344.
[11] Huo L A, Gu J F. The influence of individual emotions on the coupled model of unconfirmed information propagation and epidemic spreading in multilayer networks[J]. Physica A: Statistical Mechanics and Its Applications, 2023, 609: 128323.
[12] Huo L A, Yu Y. The impact of the self-recognition ability and physical quality on coupled negative information-behavior-epidemic dynamics in multiplex networks[J]. Chaos, Solitons & Fractals, 2023, 169: 113229.
[13] Du K, Fan R G. SHI1I2R competitive information spreading model in online and offline two-layer networks in emergencies[J]. Expert Systems with Applications, 2024, 235:121225.
[14] Wu Y S, Wang D D, Ma F C. A study on the competitive dissemination of disinformation and knowledge on social media[J]. Aslib Journal of Information Management, 2024, 76(1): 153-169.
[15] Liu M C, Jannesari V. TLFSL: link prediction in multilayer social networks using trustworthy Lévy-flight semi-local random walk[J]. Journal of Complex Networks, 2024, 12(4): cnae026.
[16] Yan G H, Zhang X L, Pei H Y, et al. An emotion-information spreading model in social media on multiplex networks[J]. Communications in Nonlinear Science and Numerical Simulation, 2024, 138: 108251.
[17] Cheriyan J, Nair J J. Feedback-regulated information fusion approach for optimizing multiple spread control in complex network[J]. Procedia Computer Science, 2024, 233: 822-831.
[18] Wang H, Ma C, Chen H S, et al. Effects of asymptomatic infection and self-initiated awareness on the coupled disease-awareness dynamics in multiplex networks[J]. Applied Mathematics and Computation, 2021, 400: 126084.
[19] Liu C Y, Wu X Q, Niu R W, et al. Opinion diffusion in two-layer interconnected networks[J]. IEEE Transactions on Circuits and Systems I: Regular Papers, 2021, 68(9): 3772-3783.
[20] Zhang Y X, Feng Y X. Two-layer coupled network model for topic derivation in public opinion propagation[J]. China Communications, 2020, 17(3): 176-187.
[21] 李思佳,张鹏,夏一雪,等.基于信息吸引力和相关性的双网络舆情交互传播建模与仿真研究[J].情报杂志,2023,42(5):119-128.
Li S J, Zhang P, Xia Y X, et al. Interactive propagation mode and simulation of dual network public opinions based on information attraction and relevance[J]. Journal of Intelligence, 2023,42(5):119-128.
[22] 徐涵,张庆.复杂网络上传播动力学模型研究综述[J].情报科学,2020,38(10):159-167.
Xu H, Zhang Q. A review of epidemic dynamics on complex networks[J]. Information Science, 2020,38(10):159-167.
[23] Diekmann O, Heesterbeek J A P, Metz J A J. On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations[J]. Journal of Mathematical Biology, 1990, 28: 365-382.
[24] Shen H, Tu L L, Guo Y F, et al. The influence of cross-platform and spread sources on emotional information spreading in the 2E-SIR two-layer network[J]. Chaos Solitons & Fractals, 2022, 165: 112801.
[25] González-parra G, Arenas A J, Chen-charpentier B M. Combination of nonstandard schemes and Richardson’s extrapolation to improve the numerical solution of population models[J]. Mathematical and Computer Modelling, 2010, 52(7/8): 1030-1036.
[26] Van den Driessche P, Watmough J. Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission[J]. Mathematical Biosciences, 2002, 180(1/2): 29-48.
[27] 林坤,董昆.论“互联网+”庭审公开的治理实践、基本理念和制度优化[J].法律适用,2021(12):162-170.
Lin K, Dong K. On the governance practices, fundamental concepts, and institutional optimization of “internet plus” court trial transparency[J]. Journal of Law Application, 2021(12):162-170.
[28] 吕梦明.从麦奎尔的受众理论视角分析电视剧和网剧的差异[J].视听,2019(7):12-13.
Lü M M. Analyzing the differences between TV dramas and web dramas from the perspective of McQuail′s audience theory[J]. Radio & TV Journal, 2019(7):12-13.
