摘要
Abstract
Objective Exploring the characteristics information of high-risk populations of undergraduate depression from social networks and tracking the high-risk groups of depression to provide the key points for the administration department of the college students and give more psychological support or psychological aid for them. Methods (1)SNS was focused on the target populations;(2)Preliminary searching keywords(PSK) were selected characterizing expression;(3)Determine keywords for a disposable searching:recorded the result,10 high frequency used words were filtered. as the final searching keywords (FSK);(4)Formal searching was the non-reprinted text messages with students′view in detail in the ′status′column for consecutive 7 days with FSK. (5)Text database established:name,gender,school and text that "status" covered. (6)Depressive characteristic keywords(DCK) positioned:to determine representative DCK used by college students by the detection rate sorted during retrieval in continuous 7 days. Results The DCK was related to depression. The FSK detection rate from high to low was respectively as follows:suicide(3.80%),depression(1.80%),escape(1.80),lazyness(1.71%),insomnia(1.50%),futility (1.22%),pain(1.00%), crying(1.00%),despair(0.83%),loneliness(0.60%). The overall DCK detection rate was 1.35%. Conclusion College students′depression characteristics exists in the SNS. The high-risk depression populations could be found by DCK search ,which make psychological support and aids.关键词
计算机通信网络/社会学/学生/抑郁/精神卫生/高危人群/社交网络Key words
Computer communication networks/Sociology/Students/Depression/Mental health/High risk group/Social networks
