[Objective] This paper aims to study the mechanism of media collaboration in topic propagation and its application in guiding and controlling the dissemination of public opinion topics. [Methods] Using the method of simulation, the model of public opinion topic propagation under the media synergy effect was constructed, and the influence mechanism of the medium that played synergy, and the time point and duration of its effect on the dissemination of public opinion topics were explored. [Results] The simulation results show that, compared to single media, the collaborative network constructed by multiple media plays a stronger role in promoting topic communication, and is affected by the media intervention time and the media duration. [Limitations] In the simulation experiment, the Internet public opinion carrier network is a real network, but the media collaboration network and topic communication data are all from simulation. [Conclusions] The collaboration between media is an important expression of media in the propagation of topics. The rational use of its synergies is conducive to controlling and guiding the dissemination of public opinion topics scientifically and efficiently.
梅妍霜,朱恒民,魏静. 媒体协同对网络舆情扩散的作用机制研究*[J]. 数据分析与知识发现, 2019, 3(2): 65-71.
Yanshuang Mei,Hengmin Zhu,Jing Wei. A Study on the Mechanism of Media Collaboration on the Spread of Internet Public Opinion. Data Analysis and Knowledge Discovery, DOI：10.11925/infotech.2096-3467.2018.0613.
(Huang Wei, Li Rui, Meng Jialin.Study on Dissemination Elements and Operational Mechanism of Multimedia Network Public Opinion Under the Big Data Environment[J]. Library and Information Service, 2015, 59(21): 38-62.)
(Sun Zhipeng.Consultation and Confrontation Between Three Public Opinion Fields in the Micro-blog Field - Based on the Analysis of the Government, Media and Opinion Leader Micro-blog in the Tianjin Binhai Explosion Case[J]. Journal of News Research, 2016, 7(13): 6.)
(Jiang Shenghong. The Formation, Development, Current Situation and Guidance of Internet Hot Spots[J]. Theory Monthly, 2008(4): 34-36.)
高宪春. 新媒体环境下舆情事件互动机制分析[J]. 当代传播, 2011(6): 50-51.
(Gao Xianchun.Analysis of the Interactive Mechanism of Public Opinion Events under the New Media Environment[J]. Contemporary Communication, 2011(6): 50-51.)
Dong T, Liang C, He X.Social Media and Internet Public Events[J]. Telematics and Informatics, 2017, 34(3): 726-739.
Yang J, Leskovec J.Modeling Information Diffusion in Implicit Networks[C]// Proceedings of the 10th IEEE International Conference on Data Mining, Berlin, Germany. Washington: IEEE Computer Society, 2010: 599-608.
(Chen Bo, Yu Ling, Liu Junting, 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.)
(Zhou Tao, Wang Binghong, Han Xiaopu, et al.Social Network Analysis and Its Application in the Prevention and Control of Propagation for Public Opinion and Epidemic[J]. Journal of Systems Engineering, 2010, 25(6): 742-754.)
Barthélemy M, Barrat A, Pastorsatorras R, et al.Velocity and Hierarchical Spread of Epidemic Outbreaks in Scale-free Networks[J]. Physical Review Letters, 2004, 92(17): 178701.
(Ren Lixiao, Zhang Liang, Du Ziping, et al.A Review of Evolutionary Model of Network Public Opinion Based on Complex Network[J]. Information Science, 2014, 32(8): 148-156.)
Jin Y, Liu B F, Austin L L.Examining the Role of Social Media in Effective Crisis Management: The Effects of Crisis Origin, Information Form, and Source on Publics’ Crisis Responses[J]. Communication Research, 2014, 41(1):74-94.