基于IEA-ARIMA模型的微博信息传播效率研究  

Research on Weibo information transmission efficiency based on IEA-ARIMA model

作　　者：冯楠[1] 曹弘毅[1] FENG Nan;CAO Hongyi(Xi’an Medical University,Xi’an 710021,China)

机构地区：[1]西安医学院,陕西西安710021

出　　处：《现代电子技术》2023年第22期68-74,共7页Modern Electronics Technique

基　　金：国家社科基金项目:“互联网+”环境下微博社会网络的网络结构模型和信息传播研究(18XXW011)。

摘　　要：构建一种基于改进欧拉算法的时序模型(IEA-ARIMA),从复杂网络理论和路径两方面选取多个指标,对网络静态拓扑结构进行分析,探索不同网络结构下的微博信息传播效率。得出在球型网络、随机网络和微博网络三种不同结构中,球型网络是最优的传播环境,可显著提升微博信息的传播效率。文中深入探讨网络拓扑结构对信息传播效率的影响,并提供新的预测方法,对提高微博信息的传播效率具有重要意义。An improved Euler algorithm time based series model(IEA-ARIMA)is constructed,multiple indicators are selected from both complex network theory and path,the static topology structure of the network is analyzed,and the efficiency of Weibo information dissemination under different network structures is explored.Among the three different structures of spherical network,random network,and Weibo network,spherical network is the optimal communication environment,which can significantly improve the dissemination efficiency of Weibo information.The impact of network topology on information dissemination efficiency is deeply explored,and new prediction methods are provided,which is of great significance for improving the dissemination efficiency of Weibo information.

关 键 词：微博 信息传播 改进欧拉算法的时序分析模型(IEA-ARIMA) 复杂网络理论 网络拓扑结构 效率预测 

分 类 号：TN919.72-34[电子电信—通信与信息系统] TP391.1[电子电信—信息与通信工程]