Research on Network Public Opinion Spread Based on Decision Theory Cellular Automata

LI Yong-yi

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Research on Network Public Opinion Spread Based on Decision Theory Cellular Automata

更新时间：2026-09-04

- Research on Network Public Opinion Spread Based on Decision Theory Cellular Automata
- Vol. 33, Issue 6, Pages: 126-129(2016)
- 作者机构：
  
  钦州学院机构电子与信息工程学院,广西,钦州,535099
- 作者简介：
- 基金信息：
- DOI：
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- Published：2016
- 稿件说明：
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黎永壹. 基于决策论元胞自动机的网络舆情传播研究[J]. 微电子学与计算机, 2016, 33(6): 126-129, 133.

LI Yong-yi. Research on Network Public Opinion Spread Based on Decision Theory Cellular Automata[J]. 2016, 33(6): 126-129.
黎永壹. 基于决策论元胞自动机的网络舆情传播研究[J]. 微电子学与计算机, 2016, 33(6): 126-129, 133. DOI：

LI Yong-yi. Research on Network Public Opinion Spread Based on Decision Theory Cellular Automata[J]. 2016, 33(6): 126-129. DOI：

摘要

在舆情传播研究中

传统元胞自动机采用多数演变规则

以多数情感代表倾向度

忽略了舆情个体间的相互影响

会导致错误的预测结果

为此

将决策论结合元胞自动机应用于舆情传播问题中.首先介绍元胞自动机和决策论的基本概念及特点; 然后建立基于决策论的元胞自动机模型

以相对收益模型作为演变规则

设计元胞状态演变的遍历算法; 最后通过实例和模拟仿真表明算法可实现舆情传播倾向度趋向明显

结果验证了算法的有效性和可行性.

Abstract

In the study of public opinion spread

the evolution rules of the traditional cellular automaton are the majority principle which provides most emotional represents the tendency

but ignoring public opinion between individuals influence each other

it can lead to wrong prediction results

therefore

this paper combines decision theory and cellular automata and applied to the public opinion spread. First of all

introduce the basic concept and characteristics of cellular automata and decision theory. Cellular automata model based on Decision theory is set up

the algorithm of cellular state evolution is designed with relative income model as the evolution rules. Finally examples and simulation indicates that algorithm can realize public opinion spread tendency obviously

the results verify the feasibility and effectiveness of the algorithm.

关键词

Keywords

references

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