TY - GEN
T1 - Social structure and depression in trevorspace
AU - Homan, Christopher M.
AU - Lu, Naiji
AU - Tu, Xin
AU - Lytle, Megan C.
AU - Silenzio, Vincent M.B.
PY - 2014
Y1 - 2014
N2 - We discover patterns related to depression in the social graph of an online community of approximately 20,000 lesbian, gay, and bisexual, transgender, and questioning youth. With survey data on fewer than two hundred community members and the network graph of the entire community (which is completely anonymous except for the survey responses), we detected statistically significant correlations between a number of graph properties and those TrevorSpace users showing a higher likelihood of depression, according to the Patient Healthcare Questionnaire-9, a standard instrument for estimating depression. Our results suggest that those who are less depressed are more deeply integrated into the social fabric of TrevorSpace than those who are more depressed. Our techniques may apply to other hard-to-reach online communities, like gay men on Facebook, where obtaining detailed information about individuals is difficult or expensive, but obtaining the social graph is not.
AB - We discover patterns related to depression in the social graph of an online community of approximately 20,000 lesbian, gay, and bisexual, transgender, and questioning youth. With survey data on fewer than two hundred community members and the network graph of the entire community (which is completely anonymous except for the survey responses), we detected statistically significant correlations between a number of graph properties and those TrevorSpace users showing a higher likelihood of depression, according to the Patient Healthcare Questionnaire-9, a standard instrument for estimating depression. Our results suggest that those who are less depressed are more deeply integrated into the social fabric of TrevorSpace than those who are more depressed. Our techniques may apply to other hard-to-reach online communities, like gay men on Facebook, where obtaining detailed information about individuals is difficult or expensive, but obtaining the social graph is not.
KW - LGBT youth
KW - Social media
KW - Social network analysis
UR - http://www.scopus.com/inward/record.url?scp=84898996658&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84898996658&partnerID=8YFLogxK
U2 - 10.1145/2531602.2531704
DO - 10.1145/2531602.2531704
M3 - Conference contribution
AN - SCOPUS:84898996658
SN - 9781450325400
T3 - Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW
SP - 615
EP - 624
BT - CSCW 2014 - Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work and Social Computing
PB - Association for Computing Machinery
T2 - 17th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2014
Y2 - 15 February 2014 through 19 February 2014
ER -