基于大数据的自然灾害事件网络舆情信息监测平台  

Internet Public Opinion Information Monitoring Platform for Natural Disasters Based on Big Data

作　　者：刘悦[1] 杨桦[1] LIU Yue;YANG Hua(College of Information Engineering,Kaifeng University,Kaifeng 475000,China)

机构地区：[1]开封大学信息工程学院,河南开封475000

出　　处：《灾害学》2018年第4期13-17,共5页Journal of Catastrophology

基　　金：河南省高等学校青年骨干教师培养计划项目(2017GGJS270);河南省高等学校重点科研项目(19B520014);河南省高等教育教学改革研究项目(2014SJGLX439)

摘　　要：对重大灾害自然事件舆论信息进行有效管理,能够避免虚假信息传播引起群众情绪波动问题,保障社会和谐发展。为此提出并设计了基于大数据分析法的重大自然灾害事件网络舆情信息智能监测平台,首先利用大数据分析方法对灾害舆情信息传播发展路径进行分析,获取灾害舆情传播特征,以地震灾害与台风灾害为例,设计舆情波动影响分析模块,得到舆情波动影响因素,并以Hadoop架构为基础,设计重大灾情事件网络舆论信息引导Haboop架构,实现对重大自然灾害事件网络舆情信息智能监测。为检验该方法的有效性,对比现有灾害事件网络舆情监管情况进行了验证。实验结果表明,改进设计平台可有效对自然灾害网络舆情信息进行监测,其有效性可达到85%,效果远胜于传统监测平台,可满足真实准确的信息传输要求以及为灾后紧急救援提供基础依据。Effective management of public opinion information on major natural disasters can avoid the problem of emotional fluctuation caused by false information dissemination and ensure the harmonious development of society.We propose and design an intelligent monitoring platform of network public opinion information of major natural disasters based on large data analysis method.Firstly,the dissemination path of disaster public opinion information is analyzed by using large data analysis method,and the dissemination characteristics of disaster public opinion are obtained.Taking earthquake disasters and typhoon disasters as examples,the influence of public opinion fluctuation is designed.The analysis module gets the influencing factors of public opinion fluctuation,and designs the Haboop framework based on the Hadoop framework to guide the public opinion information of major disaster events,so as to realize the intelligent monitoring of public opinion information of major natural disasters.In order to test the effectiveness of the method,the network public opinion regulation of the existing disaster events is verified.The experimental results show that the improved design platform can effectively monitor the network public opinion information of natural disasters,its effectiveness can reach 85%,the effect is far better than the traditional monitoring platform,can meet the real and accurate information transmission requirements and provide the basis for emergency relief after disasters.

关 键 词：生存分析 网络舆情 突发自然灾害 网络媒体 应急救助 灾害信息管理 

分 类 号：X43[环境科学与工程—灾害防治] P208[天文地球—地图制图学与地理信息工程]