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Assortativity of Suicide-Related Posting on Social Media

机译：自杀相关帖子在社交媒体上的assortative

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Since the turn of the century, interdisciplinary research on networks-their formation, structure, and influence-has advanced so rapidly, it is now a science unto itself, offering new and powerful quantitative tools for studying human behavior, whose potential psychologists are just beginning to glimpse. Among these tools is a formula for quantifying assortativity, the propensity of similar people to be socially connected with one another more often than their dissimilar counterparts. With this formula, this investigation establishes a foundation for examining assortative patterns in suicidal behavior and highlights how they can be exploited for improved prevention. Specifically, the established clustering of suicide fatalities in time and space implies such fatalities have assortative features. This suggests other forms of suicide-related behavior may as well. Thus, the assortativity of suicide-related verbalizations (SRVs) was examined by machine coding 64 million posts from 17 million users of a large social media platform-Twitter-over 2 distinct 28-day periods. Users were defined as socially linked in the network if they mutually replied to each other at least once. Results show SRVs were significantly more assortative than chance, through 6 degrees of separation. This implies that if a person posts SRVs, their friends' friends' friends' friends' friends' friends are more likely than chance to do the same even though they have never met. SRVs also remained significantly assortative through 2 degrees, even when mood was controlled. Discussion illustrates how these assortative patterns can be exploited to improve the true-positive rate of suicide risk screenings.
机译：自世纪之交以来，对网络的跨学科研究 - 它们的形成，结构和影响 - 已经如此迅速推进，现在是一种科学，为学习人类行为提供新的和强大的定量工具，其潜在的心理学家刚刚开始瞥见。在这些工具中是一种用于量化assorartivity的公式，比其不同的同行更频繁地彼此社会连接的相似人员的倾向。通过这个公式，该调查为检查了自杀行为中的各种模式，并突出了如何利用它们改善预防的基础。具体而言，在时间和空间中建立的自杀死亡群体意味着这种死亡率具有各种特征。这表明其他形式的自杀相关行为也可能。因此，通过机器编码6400万张员额的大型社交媒体平台的1700万用户的机器检查了与自杀相关的语言（SRV）的类取率 - 超过2个不同的28天。如果它们至少互相回复一次，则用户被定义为网络中的社会链接。结果显示SRV比机会明显更具差异，通过6度分离。这意味着，如果一个人邮寄SRV，他们的朋友的朋友的朋友的朋友的朋友的朋友的朋友更有可能也可能与他们从未见过相同。即使在控制心情时，SRV也仍然是2度的显着分类。讨论说明了如何利用这些各种模式来提高自杀风险筛查的真正阳性率。

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