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高校学生心理健康情况对其社交网络结构的影响研究
引用本文:聂敏,罗炜敏,邓辉,王伟,夏虎,周涛.高校学生心理健康情况对其社交网络结构的影响研究[J].电子科技大学学报(自然科学版),2021,50(2):317-320.
作者姓名:聂敏  罗炜敏  邓辉  王伟  夏虎  周涛
作者单位:电子科技大学大数据研究中心 成都 611731
基金项目:国家自然基金(61433014,11975071)
摘    要:高校学生心理健康情况是近年来教育工作者普遍关注的焦点问题。目前尚无利用大规模样本分析学生心理健康对其社交行为影响的报导。该文基于某高校4 955位匿名学生一卡通刷卡数据来构建社交网络,并利用《SCL-90测评量表》测评结果刻画学生的抑郁症状发生水平。分析发现,学生心理健康程度极大地影响其社交网络结构:无明显抑郁症状的学生更倾向于与不同的同学共餐(推断社交活跃性更高);有明显抑郁症状的学生则更倾向于单独用餐(推断社会活跃性较低)。

关 键 词:大数据  抑郁症  心理健康  社交网络
收稿时间:2020-02-06

Research on the Influence of College Students' Mental Health on Their Social Network Structure
Affiliation:Big Data Research Center, University of Electronic Science and Technology of China Chengdu 611731
Abstract:In recent years, the mental health of college students has been the focus of educators. There is no large-scale sample to analyze the impact of students' mental health on their social behavior. By analyzing 4 955 anonymous students' card swiping and psychological evaluation data of a university, we construct a social network among students based on their meal card swiping data. Furthermore, based on the data of SCL-90 evaluation scale, we evaluate the depression of students. Through analysis, we find that the degree of depression of students dramatically affects their social network structure. Students without obvious depression share meals with more students (speculating higher social activity), and students with obvious depression prefer to share meals with fewer students (inferring lower social activity).
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