引入政府规制变量的媒介传播动力学SIP模型构建
发布时间：2018-11-06 08:15
【摘要】：信息是用来消除随机不确定性的东西,随着互联网技术与各产业实体的深度融合,媒介网络理论变得强势而有力度。文章运用媒介传播的网络理论,在媒介传播SIR模型基础上,将信息传播展于一个立体的由一定数量网络社区组成的网络群,引入信息传播的概率因子,建构媒介传播的SIP模型。此模型特点有二:其一,通过置入政府规制变量建构了媒介传播的动力学方程;其二,通过置入信息吸引力因子建构了媒介传播的概率分析框架。
[Abstract]:Information is used to eliminate random uncertainty. With the deep integration of Internet technology and various industrial entities, media network theory has become strong and powerful. Using the network theory of media communication, based on the SIR model of media communication, this paper develops the information dissemination into a three-dimensional network group composed of a certain number of network communities, introduces the probability factor of information communication, and constructs the SIP model of media communication. There are two characteristics of this model: first, the dynamic equation of media communication is constructed by inserting government regulation variables; second, the probability analysis framework of media communication is constructed by inserting information attraction factor.
【作者单位】： 黄冈师范学院新闻与传播学院;南京大学历史学院;
【基金】：国家社会科学重大基金项目(14ZDB129)
【分类号】：O211;G206
，
本文编号：2313695
[Abstract]:Information is used to eliminate random uncertainty. With the deep integration of Internet technology and various industrial entities, media network theory has become strong and powerful. Using the network theory of media communication, based on the SIR model of media communication, this paper develops the information dissemination into a three-dimensional network group composed of a certain number of network communities, introduces the probability factor of information communication, and constructs the SIP model of media communication. There are two characteristics of this model: first, the dynamic equation of media communication is constructed by inserting government regulation variables; second, the probability analysis framework of media communication is constructed by inserting information attraction factor.
【作者单位】： 黄冈师范学院新闻与传播学院;南京大学历史学院;
【基金】：国家社会科学重大基金项目(14ZDB129)
【分类号】：O211;G206
，
本文编号：2313695
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