NetHealth: Modeling the Co-Evolution of Social Networks and Health Behaviors

NetHealth:模拟社交网络和健康行为的共同进化

基本信息

  • 批准号:
    8631492
  • 负责人:
  • 金额:
    $ 74.42万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2014
  • 资助国家:
    美国
  • 起止时间:
    2014-09-05 至 2018-05-31
  • 项目状态:
    已结题

项目摘要

PROJECT SUMMARY/ABSTRACT The purpose of this project is to collect continuous longitudinal data over a two year period on both people's social networks and health behaviors in order to (1) test theories about the mechanisms linking social networks and human behavior, and (2) assess the extent to which social influence processes lead to changes in health-related behaviors. Assessing the extent to which social influence operates in social networks is critical for devising future interventions that could harness the power of social networks to reduce incidences of unhealthy behaviors and increase the prevalence of healthier ones. However empirically determining how important social influence is has turned out to be very difficult. There are other mechanisms besides social contagion through which the observed clustering (i.e. ties among similar people) can occur: self-selection (forming ties with similar others), joint exposure to concurrent exogenous factors, selective avoidance, and high decay rates for ties that do not exhibit trait matching. Empirically adjudicating between these competing processes requires high-validity, fine-grained, longitudinal data on changes over time in people's social networks and their health-related behavioral sides. This project will collect such data through the innovative use of two mobile, remote, always-on unobtrusive sensor systems: smartphones and other smart devices to capture information on communicative interactions and social ties, and health monitor armbands to capture information on physical activity (PA) and sleep habits (SH). Five hundred incoming college students will be asked to install monitoring applications on their smart devices and will receive a health monitor armband upon arrival on campus to wear the armband at all times. Data about who communicates with who obtained from the phones and other smart devices, and data on PA and SH obtained from the armbands will allow us to map out the co-evolution of a social network and PA and SH behaviors within it. Because students are randomly allocated to same-sex residence halls and rooms within them, and because there are few social ties prior to arrival, this is an idea population in which to observe the emergence of a social network. With these data we will answer fundamental questions about networks and behavior. Does who you know (a person's position in a social network) determine what you do (for instance, how physical active a person is)? Or does what you do determine who you know? What happens when two people with different PA and/or SH form a social tie? Are they likely to become similar, and if so, is it because the less active (poorer sleeper) becomes more active (a healthier sleepier) or vice a versa? Alternatively, when there are health behavior differences, is the tie likely to die quickly and never get a chance to strengthen enough so that influence processes can begin to come into play?
项目摘要/摘要 该项目的目的是收集两年时间内两个项目的连续纵向数据 人们的社会网络和健康行为,以(1)检验关于社会联系机制的理论 网络和人类行为,以及(2)评估社会影响过程导致变化的程度 在与健康相关的行为中。评估社会影响力在社交网络中的作用程度是至关重要的 为了设计未来的干预措施,可以利用社交网络的力量来减少 不健康的行为和增加更健康的行为的流行。然而,经验上决定如何 重要的社会影响被证明是非常困难的。除了社会机制之外,还有其他机制 可以通过观察到的集群(即相似的人之间的联系)发生的传染性:自我选择 (与类似的其他人建立联系),共同暴露于同时存在的外部因素,选择性地回避,以及 没有表现出特征匹配的领带腐烂率很高。 从经验上讲,在这些相互竞争的过程之间进行裁决需要高有效性、细粒度、 关于人们社交网络及其健康相关行为方面随时间变化的纵向数据。 该项目将通过创新地使用两个移动的、远程的、始终在线的、不引人注目的方式来收集这些数据 传感器系统:智能手机和其他智能设备,用于捕获有关通信交互的信息 和社交纽带,以及健康监测臂章,以捕获有关体力活动(PA)和睡眠习惯的信息 (Sh)。500名即将入学的大学生将被要求在他们的智能手机上安装监控应用程序 并将在抵达校园时收到健康监测臂章,以便随时佩戴该臂章。 关于谁与谁通信的数据,以及从手机和其他智能设备获得的数据,以及PA上的数据 从臂章中获得的SH将使我们能够规划出社交网络和PA的共同进化 其中的SH行为。因为学生被随机分配到同性宿舍和 他们,而且因为在到达之前几乎没有社会关系,这是一个观察 一种社交网络的出现。 通过这些数据,我们将回答有关网络和行为的基本问题。你认为是谁? 了解(一个人在社交网络中的位置)决定你做什么(例如,身体活动如何 人是)?还是你的所作所为决定了你认识的人?当两个人拥有不同的PA会发生什么 和/或SH形成社会纽带?他们有可能变得相似吗?如果是,是因为不太活跃(较差 睡眠者)变得更活跃(更健康的睡眠者),或者反之亦然?或者,当有健康的时候 行为差异,这种纽带可能很快就会消失,永远没有机会加强到足够强的程度,从而 影响过程可以开始发挥作用吗?

项目成果

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Omar A. Lizardo其他文献

Omar A. Lizardo的其他文献

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{{ truncateString('Omar A. Lizardo', 18)}}的其他基金

NetHealth: Modeling the Co-Evolution of Social Networks and Health Behaviors
NetHealth:模拟社交网络和健康行为的共同进化
  • 批准号:
    9067513
  • 财政年份:
    2014
  • 资助金额:
    $ 74.42万
  • 项目类别:

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