Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Health Information Science |
| Subtitle of host publication | 9th International Conference, HIS 2020, Amsterdam, The Netherlands, October 20–23, 2020, Proceedings |
| Editors | Zhisheng Huang, Siuly Siuly, Hua Wang, Yanchun Zhang, Rui Zhou |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 25-34 |
| Number of pages | 10 |
| ISBN (Electronic) | 9783030619510 |
| ISBN (Print) | 9783030619503 |
| DOIs | |
| Publication status | Published - 2020 |
| Event | 9th International Conference on Health Information Science, HIS 2020 - Amsterdam, Netherlands Duration: 20 Oct 2020 → 23 Oct 2020 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 12435 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 9th International Conference on Health Information Science, HIS 2020 |
|---|---|
| Country/Territory | Netherlands |
| City | Amsterdam |
| Period | 20/10/20 → 23/10/20 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Behavior pattern
- Depression
- Microblog tree hole
- Monitor and rescue
- Temporal characteristics
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