节点文献
基于大数据的学生社交网络心理健康模型研究
Research on students’ social network mental health model based on big data
【摘要】 以某高校的学生行为数据为基础,利用大数据和数据挖掘技术对学生日常行为进行建模分析,构造出学生亲密度算法,生成学生共现社交网络图,分析社交网络图中网络连边可客观真实地反映学生的孤僻度和亲密度,可为高校的心理辅导工作提供参考依据。
【Abstract】 Big data and data mining technology are applied in this paper to establish the models and analyze the daily behavior of students based on the student behavior data from a university, which constructs the student intimacy algorithm, generates the student co-occurrence social network diagram, and analyzes the network edge in the social network diagram. The results reflect the isolation and intimacy of students objectively and truly, which can provide a reference basis for psychological counseling in colleges and universities.
【关键词】 大数据;
数据挖掘;
心理健康;
社交网络;
亲密度;
【Key words】 big data; data mining; mental health; social networks; intimacy;
【Key words】 big data; data mining; mental health; social networks; intimacy;
【基金】 教育部科技发展中心新一代信息技术创新项目(2020ITA02047);四川省教育信息技术研究“十四五”规划2021年度课题(川教馆[2021]230);四川学术成果分析与应用研究中心项目(XSCG2020-008);四川省科技厅重点研发项目(2022YFG0187)
- 【文献出处】 现代计算机 ,Modern Computer , 编辑部邮箱 ,2023年03期
- 【分类号】TP311.13;G444
- 【下载频次】51