网络社交平台媒体信息影响下人际社交网络个体观点演化研究

Research on the Evolution of Individual Opinions in Interpersonal Social Networks under the Influence of Media Information on Online Social Platforms

[目的/意义]为研究网络个体观点在人际社交网络和平台媒体信息共同影响下的演化情况,依据现实情景构建“静态—动态”二模连接机制,并引入动态智能信息推荐机制,对于研究个体在现实网络情景和社交平台技术下的观点变化情况有重要意义。[方法/过程]基于改进的DW模型,针对影响个体的两个群体分别构建静态和动态连接,采用灵敏度分析的方法研究不同参数对群体观点演化的影响。[结果/结论]通过仿真软件运行结果分析发现,二模连接机制协同影响下的群体观点具有明显的分簇和聚合两个阶段,最终稳定观点趋向平台观点均值,连接数量、推送范围、信任度的变化对群体观点演化过程都有影响。

[Purpose/significance]In order to study the evolution of the individual opinion under the influence of social network and platform media information,it is of great significance to build a two-model connection mechanism of“static-dynamic”based on the real situation and introduce a dynamic information recommendation mechanism for studying the individual opinion under the real network situation and social platform technology.[Method/process]Based on the DW model,this paper expands the DW model by improving the number of opinion interactions and the number of groups,constructs static and dynamic connections for the two groups that affect individual opinion,and the Sensitivity analysis is used to analyze the impact of different parameters on the evolution of group opinions.[Result/conclusion]Through the analysis of the running results of the simulation software,it is found that the group opinions under the influence of the two-model connection mechanism have two distinct stages of clustering and aggregation,and finally the stable view tends to the average of the platform view.The number of connections,information push scope,and trust level of the two-model connection mechanism have a great impact on the evolution of the network group opinions.