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Social network differences of chronotypes identified from mobile phone data
EPJ Data Science ( IF 3.6 ) Pub Date : 2018-10-24 , DOI: 10.1140/epjds/s13688-018-0174-4
Talayeh Aledavood , Sune Lehmann , Jari Saramäki

Human activity follows an approximately 24-hour day-night cycle, but there is significant individual variation in awake and sleep times. Individuals with circadian rhythms at the extremes can be categorized into two chronotypes: “larks”, those who wake up and go to sleep early, and “owls”, those who stay up and wake up late. It is well established that a person’s chronotype can affect their activities and health. However, less is known about the effects of chronotypes on social behavior, even though many social interactions require coordinated timings. To study how chronotypes relate to social behavior, we use data collected with a smartphone app on a population of more than seven hundred volunteer students to simultaneously determine their chronotypes and social network structure. We find that owls maintain larger personal networks, albeit with less time spent per contact. On average, owls are more central in the social network of students than larks, frequently occupying the dense core of the network. These results point out that there is a strong connection between the chronotypes of people and the structure of social networks that they form.

中文翻译:

从手机数据中识别出的表型的社交网络差异

人类活动遵循一个大约24小时的昼夜周期,但是清醒和睡眠时间存在明显的个体差异。极端昼夜节律的个体可以分为两种表型:“百灵鸟”,即那些醒来早睡的人,和“猫头鹰”,即那些熬夜后醒来的人。众所周知,一个人的表型会影响他们的活动和健康。然而,尽管许多社交互动需要协调的时间安排,但关于表型对社交行为的影响知之甚少。为了研究表型与社交行为的关系,我们使用智能手机应用程序收集的数据,对超过700名志愿者学生进行了研究,以确定他们的表型和社交网络结构。我们发现猫头鹰拥有更大的个人网络,尽管每次联系花费的时间更少。平均而言,猫头鹰在学生的社交网络中比云雀更为重要,它们经常占据网络的密集核心。这些结果指出,人们的原型与他们形成的社交网络的结构之间有着密切的联系。
更新日期:2018-10-24
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