Suicide ideation of individuals in online social networks
Suicide explains the largest number of death tolls among Japanese adolescents in their twenties and thirties. Suicide is also a major cause of death for adolescents in many other countries. Although social isolation has been implicated to influence the tendency to suicidal behavior, the impact of so...
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description | Suicide explains the largest number of death tolls among Japanese adolescents in their twenties and thirties. Suicide is also a major cause of death for adolescents in many other countries. Although social isolation has been implicated to influence the tendency to suicidal behavior, the impact of social isolation on suicide in the context of explicit social networks of individuals is scarcely explored. To address this question, we examined a large data set obtained from a social networking service dominant in Japan. The social network is composed of a set of friendship ties between pairs of users created by mutual endorsement. We carried out the logistic regression to identify users' characteristics, both related and unrelated to social networks, which contribute to suicide ideation. We defined suicide ideation of a user as the membership to at least one active user-defined community related to suicide. We found that the number of communities to which a user belongs to, the intransitivity (i.e., paucity of triangles including the user), and the fraction of suicidal neighbors in the social network, contributed the most to suicide ideation in this order. Other characteristics including the age and gender contributed little to suicide ideation. We also found qualitatively the same results for depressive symptoms. |
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Suicide is also a major cause of death for adolescents in many other countries. Although social isolation has been implicated to influence the tendency to suicidal behavior, the impact of social isolation on suicide in the context of explicit social networks of individuals is scarcely explored. To address this question, we examined a large data set obtained from a social networking service dominant in Japan. The social network is composed of a set of friendship ties between pairs of users created by mutual endorsement. We carried out the logistic regression to identify users' characteristics, both related and unrelated to social networks, which contribute to suicide ideation. We defined suicide ideation of a user as the membership to at least one active user-defined community related to suicide. We found that the number of communities to which a user belongs to, the intransitivity (i.e., paucity of triangles including the user), and the fraction of suicidal neighbors in the social network, contributed the most to suicide ideation in this order. Other characteristics including the age and gender contributed little to suicide ideation. We also found qualitatively the same results for depressive symptoms.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0062262</identifier><identifier>PMID: 23638019</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Adolescents ; Case-Control Studies ; Chi-square test ; Data mining ; Death & dying ; Depression ; Female ; Humans ; Internet ; Logistic Models ; Male ; Medicine ; Mental depression ; Multivariate Analysis ; Social and Behavioral Sciences ; Social behavior ; Social interactions ; Social isolation ; Social network analysis ; Social Networking ; Social networks ; Social organization ; Social research ; Sociology ; Studies ; Suicidal Ideation ; Suicide ; Suicides & suicide attempts ; Teenagers ; Triangles ; Variables</subject><ispartof>PloS one, 2013-04, Vol.8 (4), p.e62262-e62262</ispartof><rights>2013 Masuda et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2013 Masuda et al 2013 Masuda et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c592t-8090ef80d9643ea4cf396d91a196e2aacbe1e9d8d16ffe911415609c956fdbd63</citedby><cites>FETCH-LOGICAL-c592t-8090ef80d9643ea4cf396d91a196e2aacbe1e9d8d16ffe911415609c956fdbd63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3637384/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3637384/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2095,2914,23846,27323,27903,27904,33753,53769,53771,79346,79347</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23638019$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Szolnoki, Attila</contributor><creatorcontrib>Masuda, Naoki</creatorcontrib><creatorcontrib>Kurahashi, Issei</creatorcontrib><creatorcontrib>Onari, Hiroko</creatorcontrib><title>Suicide ideation of individuals in online social networks</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Suicide explains the largest number of death tolls among Japanese adolescents in their twenties and thirties. Suicide is also a major cause of death for adolescents in many other countries. Although social isolation has been implicated to influence the tendency to suicidal behavior, the impact of social isolation on suicide in the context of explicit social networks of individuals is scarcely explored. To address this question, we examined a large data set obtained from a social networking service dominant in Japan. The social network is composed of a set of friendship ties between pairs of users created by mutual endorsement. We carried out the logistic regression to identify users' characteristics, both related and unrelated to social networks, which contribute to suicide ideation. We defined suicide ideation of a user as the membership to at least one active user-defined community related to suicide. We found that the number of communities to which a user belongs to, the intransitivity (i.e., paucity of triangles including the user), and the fraction of suicidal neighbors in the social network, contributed the most to suicide ideation in this order. Other characteristics including the age and gender contributed little to suicide ideation. We also found qualitatively the same results for depressive symptoms.</description><subject>Adolescent</subject><subject>Adolescents</subject><subject>Case-Control Studies</subject><subject>Chi-square test</subject><subject>Data mining</subject><subject>Death & dying</subject><subject>Depression</subject><subject>Female</subject><subject>Humans</subject><subject>Internet</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Medicine</subject><subject>Mental depression</subject><subject>Multivariate Analysis</subject><subject>Social and Behavioral Sciences</subject><subject>Social behavior</subject><subject>Social interactions</subject><subject>Social isolation</subject><subject>Social network analysis</subject><subject>Social Networking</subject><subject>Social networks</subject><subject>Social organization</subject><subject>Social research</subject><subject>Sociology</subject><subject>Studies</subject><subject>Suicidal 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adolescents in their twenties and thirties. Suicide is also a major cause of death for adolescents in many other countries. Although social isolation has been implicated to influence the tendency to suicidal behavior, the impact of social isolation on suicide in the context of explicit social networks of individuals is scarcely explored. To address this question, we examined a large data set obtained from a social networking service dominant in Japan. The social network is composed of a set of friendship ties between pairs of users created by mutual endorsement. We carried out the logistic regression to identify users' characteristics, both related and unrelated to social networks, which contribute to suicide ideation. We defined suicide ideation of a user as the membership to at least one active user-defined community related to suicide. We found that the number of communities to which a user belongs to, the intransitivity (i.e., paucity of triangles including the user), and the fraction of suicidal neighbors in the social network, contributed the most to suicide ideation in this order. Other characteristics including the age and gender contributed little to suicide ideation. We also found qualitatively the same results for depressive symptoms.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>23638019</pmid><doi>10.1371/journal.pone.0062262</doi><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adolescents Case-Control Studies Chi-square test Data mining Death & dying Depression Female Humans Internet Logistic Models Male Medicine Mental depression Multivariate Analysis Social and Behavioral Sciences Social behavior Social interactions Social isolation Social network analysis Social Networking Social networks Social organization Social research Sociology Studies Suicidal Ideation Suicide Suicides & suicide attempts Teenagers Triangles Variables |
title | Suicide ideation of individuals in online social networks |
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