摘要
随着科学技术的进步,互联网在现实生活中的应用越来越广泛,人们可以实时发布对某一事件的言论和观点,这使得社交网络成为舆情表达和传播的主要阵地.结合外部舆论场,以传统的SEIR模型为基础,建立了一类具有话题衍生性的SEIRS模型,并针对一个小型社交网络进行数值模拟,分析话题衍生率、阻止率与推进率对舆情传播的影响.
With the progress of science and technology,the use of the internet in people's lives is becoming more and more widespread.People are free to express their opinions on an incident,which makes social networks become the main front for the expression and dissemination of public opinions.In the traditional SEIR model,a new type of SEIRS model with topic derivation under ubiquitous media environment is established based on the external public opinion field and topic derivation rate.A numerical simulation of a small social network is carried out to analyze the influence of topic derivation rate,blocking rate and propulsive rate on the spread of public opinion.
出处
《宁夏大学学报(自然科学版)》
CAS
2018年第1期42-47,共6页
Journal of Ningxia University(Natural Science Edition)
基金
国家自然科学基金资助项目(11561055)
关键词
泛在媒体
话题衍生性
SEIRS模型
网络舆情
ubiquitous media
topic derivative
SEIRS model
the network public opinions