基于社交平台大数据的暴雨时空分析

在来自社交平台大数据的支持下,已有多项研究揭示灾害发展趋势、灾难位置与影响范围,展现了社交媒体数据对灾害研究的帮助。本文以2012年北京大暴雨为研究对象,通过分析用户提及行为与暴雨时空变化,通过微博中暴雨数据反映了用户在现实中的亲近社交关系、实时展现暴雨相关信息并预测其发展趋势,有助于研究灾害动向以及其间用户关系。

In this paper, the 2012 Beijing heavy rain was taken as the research object. By analyzing the users' mentioned behaviors and the temporal and spatial changes of the heavy rain, the heavy rain data in the microblog reflected the users' close social relationship in reality, presented the information related to the heavy rain in real time and predicted its development trend, which was conducive to the study of the disaster trend and the relationship between users.