{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T14:39:14Z","timestamp":1773499154548,"version":"3.50.1"},"reference-count":40,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2019,3,14]],"date-time":"2019-03-14T00:00:00Z","timestamp":1552521600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"National Library of Medicine of the National Institutes of Health Award","award":["2R01LM010681-05, R01LM011829"],"award-info":[{"award-number":["2R01LM010681-05, R01LM011829"]}]},{"name":"Zhejiang Provincial Natural Science Foundation of China","award":["LY18G020017"],"award-info":[{"award-number":["LY18G020017"]}]},{"DOI":"10.13039\/501100001809","name":"National Nature Science Foundation of China","doi-asserted-by":"crossref","award":["71501172"],"award-info":[{"award-number":["71501172"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Cancer Prevention Research Institute of Texas (CPRIT) Training Grant","award":["RP160015"],"award-info":[{"award-number":["RP160015"]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Health Informatics J"],"published-print":{"date-parts":[[2020,6]]},"abstract":"<jats:p> A valid mechanism for suicide detection and intervention to a wider population online has not yet been fully established. With the increasing suicide rate, we proposed an approach that aims to examine temporal patterns of potential suicidal ideations and behaviors on Twitter to better understand their risk factors and time-varying features. It identifies latent suicide topics and then models the suicidal topic\u2013related score time series to quantitatively represent behavior patterns on Twitter. After evaluated on a collection of suicide-related tweets in 2016, 13 key risk factors were discovered and the temporal patterns of suicide behavior on different days during 1 week were identified to highlight the distinct time-varying features related to different risk factors. This study is practical to help public health services and others to develop refined prevention strategies, to monitor and support a population of high-risk at right moments. <\/jats:p>","DOI":"10.1177\/1460458219832043","type":"journal-article","created":{"date-parts":[[2019,3,14]],"date-time":"2019-03-14T07:04:46Z","timestamp":1552547086000},"page":"738-752","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":30,"title":["Exploring temporal suicidal behavior patterns on social media: Insight from Twitter analytics"],"prefix":"10.1177","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6564-5043","authenticated-orcid":false,"given":"Jianhong","family":"Luo","sequence":"first","affiliation":[{"name":"Zhejiang Sci-Tech University, China"}]},{"given":"Jingcheng","family":"Du","sequence":"additional","affiliation":[]},{"given":"Cui","family":"Tao","sequence":"additional","affiliation":[]},{"given":"Hua","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Yaoyun","family":"Zhang","sequence":"additional","affiliation":[{"name":"The University of Texas School of Biomedical Informatics, USA"}]}],"member":"179","published-online":{"date-parts":[[2019,3,14]]},"reference":[{"key":"bibr1-1460458219832043","doi-asserted-by":"publisher","DOI":"10.1001\/archpsyc.62.6.617"},{"key":"bibr2-1460458219832043","unstructured":"Knapp M, McDaid D, Parsonage M. Mental health promotion and mental illness prevention: the economic case, http:\/\/www.pssru.ac.uk\/ (2011, accessed 12 April 2018)."},{"key":"bibr3-1460458219832043","unstructured":"Institute of Medicine (US) Committee on Pathophysiology and Prevention of Adolescent and Adult Suicide. Reducing suicide: a national imperative. Washington, DC: National Academies Press (US), http:\/\/www.ncbi.nlm.nih.gov\/books\/NBK220939\/ (2002, accessed 11 April 2018)."},{"key":"bibr4-1460458219832043","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2015.07.018"},{"key":"bibr5-1460458219832043","doi-asserted-by":"publisher","DOI":"10.1027\/0227-5910.29.1.38"},{"key":"bibr6-1460458219832043","doi-asserted-by":"publisher","DOI":"10.1002\/ss.267"},{"key":"bibr7-1460458219832043","doi-asserted-by":"publisher","DOI":"10.1016\/S0027-9684(15)30388-6"},{"key":"bibr8-1460458219832043","doi-asserted-by":"publisher","DOI":"10.1016\/j.invent.2015.03.005"},{"key":"bibr9-1460458219832043","doi-asserted-by":"publisher","DOI":"10.1027\/0227-5910\/a000234"},{"key":"bibr10-1460458219832043","doi-asserted-by":"publisher","DOI":"10.2105\/AJPH.2011.300608"},{"issue":"3","key":"bibr11-1460458219832043","doi-asserted-by":"crossref","first-page":"496","DOI":"10.1093\/jamia\/ocw133","volume":"24","author":"McClellan C","year":"2017","journal-title":"J Am Med Inform Assoc"},{"key":"bibr12-1460458219832043","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph110808193"},{"key":"bibr13-1460458219832043","doi-asserted-by":"publisher","DOI":"10.1007\/s10488-014-0615-8"},{"key":"bibr14-1460458219832043","doi-asserted-by":"publisher","DOI":"10.1016\/j.socscimed.2014.12.010"},{"issue":"12","key":"bibr15-1460458219832043","first-page":"10","volume":"8","author":"Sansone RA","year":"2011","journal-title":"Innov Clin Neurosci"},{"key":"bibr16-1460458219832043","doi-asserted-by":"publisher","DOI":"10.1111\/j.1600-0447.2011.01750.x"},{"key":"bibr17-1460458219832043","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyt.2018.00045"},{"key":"bibr18-1460458219832043","doi-asserted-by":"publisher","DOI":"10.1002\/j.2051-5545.2008.tb00152.x"},{"key":"bibr19-1460458219832043","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2015.08.023"},{"key":"bibr20-1460458219832043","doi-asserted-by":"publisher","DOI":"10.1016\/j.cobeha.2017.07.005"},{"key":"bibr21-1460458219832043","doi-asserted-by":"publisher","DOI":"10.1016\/j.jemermed.2013.09.023"},{"key":"bibr22-1460458219832043","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1086\/220884","volume":"57","author":"Durkheim E","year":"1951","journal-title":"Am J Sociol"},{"key":"bibr23-1460458219832043","doi-asserted-by":"publisher","DOI":"10.1080\/13811110590512967"},{"key":"bibr24-1460458219832043","doi-asserted-by":"publisher","DOI":"10.1016\/S0165-1781(98)00099-7"},{"key":"bibr25-1460458219832043","doi-asserted-by":"publisher","DOI":"10.1016\/j.jad.2009.05.015"},{"key":"bibr26-1460458219832043","doi-asserted-by":"publisher","DOI":"10.1016\/S0165-1781(97)00154-6"},{"key":"bibr27-1460458219832043","unstructured":"Kim Y. Convolutional neural networks for sentence classification, https:\/\/arxiv.org\/abs\/1408.5882 (2014, accessed 10 April 2018)."},{"key":"bibr28-1460458219832043","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-018-0632-8"},{"key":"bibr29-1460458219832043","first-page":"993","volume":"3","author":"Blei DM","year":"2003","journal-title":"J Mach Learn Res"},{"key":"bibr30-1460458219832043","doi-asserted-by":"publisher","DOI":"10.1007\/s10588-005-5380-5"},{"key":"bibr31-1460458219832043","doi-asserted-by":"publisher","DOI":"10.1108\/IMDS-01-2018-0007"},{"key":"bibr32-1460458219832043","doi-asserted-by":"publisher","DOI":"10.1108\/AJIM-08-2016-0128"},{"key":"bibr33-1460458219832043","first-page":"739","volume-title":"In: Proceedings of the 19th ACM SIGKDD international conference on knowledge discovery and data mining, Chicago, IL","author":"Kuang D","year":"2013"},{"key":"bibr34-1460458219832043","doi-asserted-by":"publisher","DOI":"10.1038\/44565"},{"key":"bibr35-1460458219832043","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2007.19.10.2756"},{"key":"bibr36-1460458219832043","first-page":"498","volume-title":"In: Proceedings of the European conference on machine learning and knowledge discovery in databases \u2014volume 8724, Nancy","author":"Greene D","year":"2014"},{"key":"bibr37-1460458219832043","doi-asserted-by":"publisher","DOI":"10.1016\/S0169-7161(05)80045-8"},{"key":"bibr38-1460458219832043","first-page":"267","volume-title":"Proceedings of the 2nd international symposium on information theory","author":"Akaike H.","year":"1973"},{"key":"bibr39-1460458219832043","unstructured":"Stan Development Team. PyStan: the Python interface to Stan. http:\/\/mc-stan.org"},{"key":"bibr40-1460458219832043","doi-asserted-by":"publisher","DOI":"10.1016\/j.socscimed.2017.07.018"}],"container-title":["Health Informatics Journal"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1460458219832043","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/1460458219832043","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1460458219832043","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T16:13:37Z","timestamp":1740845617000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/1460458219832043"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3,14]]},"references-count":40,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2020,6]]}},"alternative-id":["10.1177\/1460458219832043"],"URL":"https:\/\/doi.org\/10.1177\/1460458219832043","relation":{},"ISSN":["1460-4582","1741-2811"],"issn-type":[{"value":"1460-4582","type":"print"},{"value":"1741-2811","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,3,14]]}}}