Department of Mathematical Informatics, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo, Japan.
PLoS One. 2013 Apr 26;8(4):e62262. doi: 10.1371/journal.pone.0062262. Print 2013.
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.
自杀是导致日本二十至三十多岁青少年死亡的最大原因。自杀也是许多其他国家青少年死亡的主要原因。尽管社会隔离被认为会影响自杀行为的倾向,但在个体明确的社交网络背景下,社会隔离对自杀的影响还很少被探索。为了解决这个问题,我们研究了一个从日本主导的社交网络服务获得的大型数据集。该社交网络由用户之间通过相互认可建立的一组友谊关系组成。我们进行了逻辑回归分析,以确定与自杀意念相关和不相关的用户特征,这些特征与社交网络有关。我们将用户的自杀意念定义为至少加入一个与自杀相关的活跃用户定义社区。我们发现,用户所属的社区数量、非传递性(即,包括用户的三角形数量较少)以及社交网络中自杀邻居的比例,依次对自杀意念的影响最大。其他特征,包括年龄和性别,对自杀意念的影响较小。我们还发现,对于抑郁症状,也有类似的定性结果。