摘要
模拟微博热点事件的演化过程时,需要分析信息在网络中传播的特点,否则无法准确的获取反对人数和支持人数在微博热点事件中的变化趋势,存在演化精准度低的问题。由此提出基于用户行为属性的微博热点事件演化仿真,利用Python设计网络爬虫信息采集结构,采集微博信息,根据采集的信息构建信息传播模型,在信息传播模型的基础上分析用户在微博热点事件中的行为属性,根据分析结果对微博热点事件演化过程进行仿真。仿真结果表明,所提方法的演化精准度较高。
Generally,the traditional simulation of the evolution of microblog hot events has the disadvantage of low accuracy.In this regard,this paper proposes a microblog hot event evolution simulation about user behavior attributes.The web crawler information collection structure was designed by the utilization of Python.Based on the collected information,the information dissemination model was established.The behavior attributes of users in microblog hot events were analyzed based on the model of information dissemination.The evolution process of microblog hot events was simulated via the analysis results.The simulation results show that the proposed method has high evolution accuracy.
作者
叶鸿
张勤学
YE Hong;ZHANG Qin-xue(South China University of Technology,Guangzhou Guangdong 10641,China)
出处
《计算机仿真》
北大核心
2021年第3期447-450,共4页
Computer Simulation
关键词
用户行为属性
信息传播模型
微博热点事件
事件演化
Python
User behavior attributes
Information transmission model
Microblog hot events
Event evolution