分层演化趋向行为的网络舆情传播模型

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Title:

Internet public opinion dissemination model of hierarchical evolutionary behavior

作者:

顾雨迪¹, 狄岚²

1. 江南大学 信息化建设与管理中心, 江苏 无锡 214122;
2. 江南大学 数字媒体学院, 江苏 无锡 214122

Author(s):

GU Yudi¹, DI Lan²

1. Center of Information Construction and Management, Jiangnan University, Wuxi 214122, China;
2. School of Digital Media, Jiangnan University, Wuxi 214122, China

关键词:

网络舆情; 媒体干预; 传播模型; 分层演化; 动力系统; 数值模拟; 转移概率; 人群密度

Keywords:

Internet public opinion; impact of media; dissemination model; hierarchical evolutionary; dynamic system; numerical simulation; transfer probability; crowd density

分类号:

TP391

DOI:

10.11992/tis.201705009

摘要:

通过构建带有分层行为演化趋向的舆情传播模型，研究了媒体作用下分层行为舆情演变的内在规律。在参考疾病传播模型SIR（susceptible infected recovered）和带媒体干预的SIaIbR（susceptible infected-a infected-b recovered）模型基础上，提出了带有媒体干预的具有分层演化趋向行为的舆情演变模型（SI）³R，与SIR模型不同的是（SI）³R模型引入了群体分层这一概念，并且在演化过程中处于群体不同分层中的个体带有不同的演化趋势。通过对不同层次中个体的影响，媒体能够发挥更有效的作用。给出了分层演化群体模型及其动力学方程，通过数值求解，模拟了分层媒体作用对传播过程的影响以及初始分层密度对传播过程的影响。

Abstract:

By constructing a trend model of Internet public opinion dissemination with hierarchical evolution, the internal rules of the hierarchical behavior evolution of public opinion under the influence of media is studied. Based on the susceptible-infected-recovered (SIR) epidemic model and the susceptible infected-a infected-b recovered (SIaIbR) model, this paper proposes a public opinion dissemination model (SI)³R, which has an hierarchical behavior evolution trend and is influenced by the media. The (SI)³R model differs from the SIR model, being that it introduces the group stratification concept, and in the evolution process, the individuals have different evolutionary trends at the different layers of the group. Though the media influences the individuals in different levels, it can play a more effective role. This paper presented a hierarchical evolutionary group model and its dynamics equation. By numerical calculations, the effect of layered media on the communication process, as well as the influence of initial layered density on the propagation process are simulated.