CAJ | 학술논문

文章研究了2012年台风＂海葵＂这一突发事件的大量微博中@这一针对性分享行为与哪些内容有关。通过对518条关于海葵微博进行内容分析,借助关联分析的apriori算法得到与@相关的内容。本文的创新点在于通过研究针对性信息分享行为,以了解在突发事件中用户与朋友分享的信息,从而揭示了用户的信息需求,发现在＂海葵＂这一突发事件中用户针对性分享的内容主要是突发事件的基本信息,包括基本情况、地点以及时间,同时还会使用多种表达方式,包括表情符号、图片、详细信息的短链接等。这对提高应对突发事件信息发布的有效性有借鉴作用。
문장연구료2012년태풍＂해규＂저일돌발사건적대량미박중@저일침대성분향행위여나사내용유관。통과대518조관우해규미박진행내용분석,차조관련분석적apriori산법득도여@상관적내용。본문적창신점재우통과연구침대성신식분향행위,이료해재돌발사건중용호여붕우분향적신식,종이게시료용호적신식수구,발현재＂해규＂저일돌발사건중용호침대성분향적내용주요시돌발사건적기본신식,포괄기본정황、지점이급시간,동시환회사용다충표체방식,포괄표정부호、도편、상세신식적단련접등。저대제고응대돌발사건신식발포적유효성유차감작용。
This paper studied what the @ behavior was relevant to among large number of micro-blogs about ＂sea anemones＂.In the Sina microblog,it collected 518 posts related to this emergency in August,2012,and then this study did content analysis.In the analysis,apriori algorithm of the correlation analysis was used to obtain rules between key information and @ behavior.The innovation point of this paper was to analyze the sharing behavior @,which had important significance to understand what was the major information users would share with specified people in the emergency.This paper found that the most important information was the basic situation,the disaster sites,the time and three kinds of expression way（images of faces,pictures and short links）,which would be helpful to respond to release of information in emergencies.