Research on the Behavior Pattern of Microblog “Tree Hole” Users with Their Temporal Characteristics

Xiaomin Jing, Shaofu Lin*, Zhisheng Huang

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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 languageEnglish
Title of host publicationHealth Information Science
Subtitle of host publication9th International Conference, HIS 2020, Amsterdam, The Netherlands, October 20–23, 2020, Proceedings
EditorsZhisheng Huang, Siuly Siuly, Hua Wang, Yanchun Zhang, Rui Zhou
PublisherSpringer Science and Business Media Deutschland GmbH
Pages25-34
Number of pages10
ISBN (Electronic)9783030619510
ISBN (Print)9783030619503
DOIs
Publication statusPublished - 2020
Event9th International Conference on Health Information Science, HIS 2020 - Amsterdam, Netherlands
Duration: 20 Oct 202023 Oct 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12435 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Health Information Science, HIS 2020
CountryNetherlands
CityAmsterdam
Period20/10/2023/10/20

Keywords

  • Behavior pattern
  • Depression
  • Microblog tree hole
  • Monitor and rescue
  • Temporal characteristics

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