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基于SEIR模型的舆情传播分析与引导策略
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Abstract:
随着互联网技术的飞速发展,社交媒体已经成为互联网用户发布、分享信息的重要途径,给信息传播提供便利的同时也成为突发话题产生与传播的重要平台。首先,基于SEIR传染病模型,本文围绕网络舆情的传播和引导问题,通过仿真模拟和案例分析探讨了社交网络舆情传播规律;其次,基于传播规律从舆情引导时间节点、引导内容和引导平台的选择三个方面提出网络舆情的引导的策略。研究成果有利于为网络舆情引导提供参考和建议。
With the rapid development of Internet technology, social media has become an important way for internet users to post and share information. The social media facilitates the information propagation, and becomes one of the major platforms for discussing and spreading unexpected topics. Firstly, based on the SEIR epidemic model, this paper discusses the propagation of the public opinion in social network bythe simulation of opinion propagation and case analysis. Secondly, according to the opinion propagation pattern, this paper puts forward the strategies for guiding public opinion in social network from three aspects, i.e., the time of guiding opinion, the information style of guiding opinion and the platform for spreading guiding opinion. The research results are helpful to provide reference and suggestion for the guidance of network public opinion.
[1] | 李勇, 蔡梦思, 邹凯, 等. 社交网络用户线上线下情感传播差异及影响因素分析*——以“成都女司机被打”事件为例[J]. 情报杂志, 2016, 35(6): 80-85. |
[2] | 陈显龙, 李姝娟. 基于情感扩散和社交关系的微博情感传播特性和能量传递特征分析[J]. 情报科学, 2017(4): 32-36. |
[3] | 徐沛东, 马力, 李培. 基于SIR模型的情感网络传播分析[J]. 计算机与数字工程, 2018, 46(4): 659-663. |
[4] | 靳晓婷. 基于电子政务视阈的负面网络舆情导控研究[J]. 情报杂志, 2014(5):161-164. |
[5] | 聂峰英, 张旸. 移动社交网络舆情预警指标体系构建[J]. 情报理论与实践, 2015(12): 64-67. |
[6] | 魏静, 朱恒民, 宋瑞晓, 等. 基于系统动力学的互联网舆情传递及引导策略研究[J]. 情报科学, 2016, 34(10): 65-71. |
[7] | 毛乾任, 王朝斌, 包晓安, 等. 基于元胞自动机模型的网络舆情导控机制研究[J]. 计算机工程, 2017, 43(6): 105-111. |
[8] | 魏静, 刘莉, 林萍, 等. 移动环境下网络舆情研究进展及述评[J]. 情报杂志, 2018(9): 134-140. |
[9] | Dong, Y., Ding, Z., Luis, M., et al. (2017) Managing Consensus Based on Leadership in Opinion Dynamics. Information Sciences, 397-398, 187-205. https://doi.org/10.1016/j.ins.2017.02.052 |
[10] | Li, Y., Zhang, H. and Dong, Y. (2017) The Interactive Consensus Reaching Process with the Minimum and Uncertain Cost in Group Decision Making. Applied Soft Computing, 60, 202-212. https://doi.org/10.1016/j.asoc.2017.06.056 |
[11] | Zhanga, H., Dong, Y. and Herrera-Viedma, E. (2018) Consensus Building for the Heterogeneous Large-Scale GDM with the Individual Concerns and Satisfactions. IEEE Transactions on Fuzzy Systems, 26, 884-898.
https://doi.org/10.1109/TFUZZ.2017.2697403 |
[12] | 张立凡, 赵凯. 媒体干预下带有讨论机制的网络舆情传播模型研究[J]. 现代图书情报技术, 2015(11): 60-67. |
[13] | 浦娇华, 朱恒民. 媒体作用下互联网舆论观点演化的模型研究[J]. 南京邮电大学学报(社会科学版), 2015, 17(2): 46-50. |