摘要
研究突发事件网络舆情爆发地点监测方法,对于有针对性的引导和控制突发事件网络舆情有重要意义。为此,提出了基于空间扫描统计量的微博中突发事件舆情爆发地点监测方法。选取新浪微博上1320万条数据为数据集,通过实验验证了该方法的有效性。实验结果表明,突发事件相关的微博舆情确实存在区域聚集性,并且在突发事件发生后,微博信息量这一舆情要素会对微博舆情的区域聚集性产生更大影响。基于空间扫描统计量的微博舆情监测方法能够有效监测出舆情爆发地点及区域,解决了目前在突发事件相关的网络舆情监测中难以对突发事件网络舆情爆发地点进行动态、有效判断的问题,为相关部门对舆情热度不同的地区进行有针对性的控制、监测舆情提供依据。
To solve the problem of lacking continuously monitoring method of break place in Emergency related public opinion monitoring researches,we select 13.2 million data on Sina Weibo as data set,and propose a monitoring method based on Spatial Scan Statistic.This study is important to control the trend of public opinion.Choosing sina weibo as data sets,we verified the effectiveness of the proposed method by related experiment.The findings show that (1)there is region cluster in the emergency related public opinion.(2)Weibo's content have more influence on region cluster.This research solved the existing problem of effectively determining the public opinion outbreak space in network public opinion emergency monitoring,and provides basis for related departments to monitor and control the Network public opinion.
作者
裘江南
谷文静
杨书宁
赵春成
QIU Jang-nan;GU Wen-jing;YANG Shu-ning;ZHAO Chun-cheng(School of Management Science and Engineering,Dalian University of Technology,Dalian 116024,China)
出处
《系统工程》
CSSCI
北大核心
2018年第7期113-122,共10页
Systems Engineering
基金
辽宁省社科规划基金重点项目(L15AGL017)
国家自然科学基金资助项目(71573030)
关键词
计算机应用
爆发地点监测
空间扫描统计量
微博舆情
突发事件
Computer Application
Break Site Monitoring
Spatial Scan Statistic
Opinion Monitoring
Emergency Event
