TY - GEN
T1 - Research on the Behavior Pattern of Microblog “Tree Hole” Users with Their Temporal Characteristics
AU - Jing, Xiaomin
AU - Lin, Shaofu
AU - Huang, Zhisheng
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Behavior pattern
KW - Depression
KW - Microblog tree hole
KW - Monitor and rescue
KW - Temporal characteristics
UR - http://www.scopus.com/inward/record.url?scp=85094154022&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85094154022&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-61951-0_3
DO - 10.1007/978-3-030-61951-0_3
M3 - Conference contribution
AN - SCOPUS:85094154022
SN - 9783030619503
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 25
EP - 34
BT - Health Information Science
A2 - Huang, Zhisheng
A2 - Siuly, Siuly
A2 - Wang, Hua
A2 - Zhang, Yanchun
A2 - Zhou, Rui
PB - Springer Science and Business Media Deutschland GmbH
T2 - 9th International Conference on Health Information Science, HIS 2020
Y2 - 20 October 2020 through 23 October 2020
ER -