摘要
【目的/意义】随着互联网技术的发展,社交网络中信息传播对人类生活的影响越来越大,政府在网络中的引导作用也日趋重要。【方法/过程】本文建立基于系统动力学的SIRS信息传播模型,对社交网络中信息的传播过程进行系统分析,通过绘制因果回路图,找出信息传播过程中各影响因素之间的关系;建立存量流量图,探索信息的传播规律。【结果/结论】利用Vensim PLE进行仿真模拟,结果表明:易感人群数量、观点碰撞度、感染比例、政府公信度、政府关注度以及丧失免疫力比例等因素对网络中信息的传播起到至关重要的作用,进而在此结论的基础上为相关政府部门提出相应的对策建议。
【Purpose/significance】With the development of Internet technology, the information diffusion in social network has great impact on human life. Thus the guiding role of the government is becoming more and more important.【Method/process】We construct a SIRS information diffusion model based on system dynamics to analyze the information diffusion in social network. Then we draw a casual loop diagram to find the relationship among the factors in the process of information diffusion and create a flow diagram to explore the information diffusion laws.【Result/conclusion】Through Vensim PLE, the simulation results show that the number of susceptible people, the degrees of view collision, the rate of infection rate, the credibility of government, the attention of government and the loss of immunity play vital effects in the process of information diffusion. Finally, we put forward suggests for governments to control the information diffusion.
出处
《情报科学》
CSSCI
北大核心
2017年第11期17-22,共6页
Information Science
基金
国家社科基金项目(13CTQ023)
山东省软科学项目(2016RKB01029)
