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作者:

Jing, Xiaomin (Jing, Xiaomin.) | Lin, Shaofu (Lin, Shaofu.) | Huang, Zhisheng (Huang, Zhisheng.)

收录:

EI

摘要:

Depressed patients release microblog information and pay attention to each other’s messages. After some depressed patients commit suicide or die for other reasons, there are still microblog messages gathering constantly, thus forming a 'tree hole' - a channel for depressed patients to express their despair and suicide wish. Among them, in 2012, a microblog user died of depression, forming the largest microblog 'tree hole', with more than 1.6 million messages. Based on the data of 'tree hole', this paper analyzes the behavior pattern of microblog 'tree hole' users according to the temporal characteristics of the message, so as to obtain the crowd behavior pattern characteristics of the potential risk persons of mental health and the potential depressed patients, it is found that the relative high incidence time of depression and suicide is related to the behavior pattern. More human and material resources can be deployed to monitor and rescue the depression suicide potential during the active period, and the results can be fed back to the relevant government departments and social rescue agencies, such as the microblog Internet police, etc., so as to make them pay attention to it and form a coordinated mode of the rescue of government-and-society. © 2020, Springer Nature Switzerland AG.

关键词:

Behavioral research Forestry Health Health risks Trees (mathematics)

作者机构:

  • [ 1 ] [Jing, Xiaomin]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Jing, Xiaomin]Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
  • [ 3 ] [Lin, Shaofu]Beijing Institute of Smart City of Beijing University of Technology, Beijing, China
  • [ 4 ] [Lin, Shaofu]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Lin, Shaofu]Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
  • [ 6 ] [Huang, Zhisheng]Department of Computer Science, Vrije University Amsterdam, Amsterdam, Netherlands
  • [ 7 ] [Huang, Zhisheng]Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China

通讯作者信息:

  • [lin, shaofu]advanced innovation center for human brain protection, capital medical university, beijing, china;;[lin, shaofu]faculty of information technology, beijing university of technology, beijing; 100124, china;;[lin, shaofu]beijing institute of smart city of beijing university of technology, beijing, china

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来源 :

ISSN: 0302-9743

年份: 2020

卷: 12435 LNCS

页码: 25-34

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 1

ESI高被引论文在榜: 0 展开所有

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