Chan Ta-Chien, Yen Tso-Jung, Hu Tsuey-Hwa, Fu Yang-Chih, Hwang Jing-Shiang
Research Center for Humanities and Social Sciences, Academia Sinica, Taipei, Taiwan.
Institute of Statistical Science, Academia Sinica, Taipei, Taiwan.
BMJ Open. 2018 Jul 10;8(7):e020600. doi: 10.1136/bmjopen-2017-020600.
This paper examines how people express personal mood concurrently with those connected with them by one or two degrees of separation.
Participatory cohort study.
Online contact diary.
133 participants kept online diaries for 7 months in 2014, which included 127 455 contacts with 12 070 persons.
Diary keepers rated a contacted person's mood during each specific contact, as well as the strength of ties between any pairs of such contacted persons. Such rich information about ties and contacts enable us to construct a complete contact network for each diary keeper, along with the network members' mood and tie strength. We calculate one's overall mood by that person's average mood score during the study period and take the shortest path between any given pair of contacted persons as the degree of separation. We further assume that two connecting persons in a contact network have made contact with each other during the study period, which allows us to examine whether and how personal moods occur concurrently within these contact networks.
Using mixed-effects models while controlling for covariates at individual, tie and contact levels, we show that personal mood score positively and significantly correlates with the average mood among those directly tied to the person. The same effect remains positive and significant for those connected to the person by two degrees, although the effect size is reduced by about one-half. The mood of anyone separated by more than two degrees is statistically irrelevant.
Applying network perspectives and rich data at both tie and contact levels to inquiries about subjective well-being, the current study sheds new light on how an improved diary approach can help explain the sophisticated ways in which individuals express their personal moods concurrently during social interactions in everyday life, contact by contact.
本文研究人们如何在与自己有一度或二度分隔关系的人群中同时表达个人情绪。
参与式队列研究。
在线联系日记。
133名参与者在2014年记录了7个月的在线日记,其中包括与12070人进行的127455次联系。
日记记录者对每次特定联系中被联系者的情绪进行评分,以及这些被联系者中任意两人之间的关系强度。关于关系和联系的丰富信息使我们能够为每个日记记录者构建一个完整的联系网络,以及网络成员的情绪和关系强度。我们通过该人在研究期间的平均情绪得分来计算其总体情绪,并将任意一对被联系者之间的最短路径作为分隔度。我们进一步假设联系网络中的两个连接者在研究期间相互进行了联系,这使我们能够研究个人情绪是否以及如何在这些联系网络中同时出现。
在控制个体、关系和联系层面的协变量的同时使用混合效应模型,我们发现个人情绪得分与直接与该人有联系者的平均情绪呈正相关且具有显著相关性。对于与该人有二度分隔关系的人,同样的效应仍然是正向且显著的,尽管效应大小降低了约一半。分隔超过二度的任何人的情绪在统计学上不相关。
将网络视角以及关系和联系层面的丰富数据应用于对主观幸福感的探究,本研究为改进的日记方法如何有助于解释个体在日常生活中的社交互动中逐次联系时同时表达个人情绪的复杂方式提供了新的见解。