摘要
[目的/意义]分析不同类型群体的线上求助特征,旨在为线下救助机构实施精准服务提供依据。[方法/过程]采用Python技术抓取新浪微博“肺炎患者求助”超话中的原始数据,抽取25名患者做半结构化访谈,结合扎根理论提取病人线上求助的影响因素,并通过电话问卷调查方法进行样本采集,利用二阶聚类算法分出三类具有不同特征的用户群体。[结果/结论]基于线上求助病人用户画像特征属性,将病人分为备受关注型患者、普通大众型患者、风险敏感型患者3类。备受关注型患者主要为中年男性患者,所发布的求助微博热度高、转发量大,从感染或确诊新冠肺炎到发布线上求助的时间间隔最久;普通大众型患者多从事服务业及自由职业,所发布的求助微博热度较低,从感染或确诊新冠肺炎到发布线上求助的时间间隔次久;风险敏感型患者主要为中老年女性患者,所发布的求助微博热度最低、流量最小,该类患者在感染或确诊新冠肺炎到发布线上求助的时间间隔最短。
[Purpose/significance]The paper analyzes the online help characteristics of different types of groups to provide a basis for offline relief agencies to implement accurate services.[Method/process]It uses Python technology to capture original data in Sina weibo hypercall“help for patients with pneumonia”,extracts 25 patients for semi-structured interview,summarizes influencing factors of patients’online help combined with grounded theory,collects samples by telephone questionnaire survey,and uses second order clustering algorithm to distinguish three kinds of user groups with different characteristics.[Result/conclusion]Based on the user portraits feature attributes of online help patients,the patients are divided into three categories:highly concerned patients,ordinary patients and risk-sensitive patients.The patients with highly concerned are mainly middle-aged male patients,whose microblog for help has high popularity and large forwarding volume,and the time interval from infection or diagnosis of COVID-19 to release online help is the longest.The ordinary patients are mostly engaged in the service industry and freelance work,whose microblog for help has low popularity,and the time interval from infection or diagnosis of COVID-19 to release online help is the second longest.Risk-sensitive patients are mainly middle-aged and elderly women with the lowest popularity,and the time interval mentioned above is the shortest.
作者
陈璟浩
陈美合
Chen Jinghao;Chen Meihe(Research Center of Regional Social Governance and Innovation,Guangxi University,Nanning Guangxi 530004;School of Public Policy and Management,Guangxi University,Nanning Guangxi 530004)
出处
《情报探索》
2021年第12期7-16,共10页
Information Research
基金
国家自然科学基金项目“国家安全大数据综合信息集成与分析方法”(项目编号:71790612)研究成果之一。
关键词
突发公共卫生事件
线上求助
用户画像
扎根理论
public health emergency
online help-seeking
user portrait
grounded theory
