Comparing Social Network Influence on Alcohol Use Using Affiliation Data

6.项目总结/摘要 本研究的目的是扩展友谊关系的单模式网络数据分析 （演员由演员网络）到双模式（演员由事件从属关系/二分）网络数据来建模 共同参与学校组织的活动对青少年饮酒的影响。第一个目标是 通过直接建模来确定基于隶属关系的网络影响力的新概念的效用 （使用多个网络自相关模型）双模式/联系暴露对饮酒的影响 对其他竞争同伴的行为控制影响主要是那些基于亲密朋友或同伴的行为 占据相似的网络位置。第二个目标是确定多个因素的相对贡献 网络对酒精使用的影响形式，以及这些网络效应如何作为风险因素一起运作。的 在R 00阶段的研究将集中在双模网络的结构特性和动力学方面 与酒精有关的联系网络的结构分析。与此相关，第三个目标是估计 一种新的几何加权双模指数随机图模型（ERGM） 技术，以测试共同联系对青少年饮酒的影响，并将扩展到纵向 通过随机建模分析单模式和双模式网络的共同进化，以检查 与酒精使用相关的友谊和从属关系网络演变中的交叉依赖性 基于角色的建模框架。第四个目标是探索驱动联合动力的社会机制 的隶属网络结构的条件下，一种模式的朋友的网络与酒精的使用。 解决这些问题将有助于确立PI的长期职业目标，即将自己确立为 一个双模式网络的专家，它与主要导师的网络是分开和不同的（托马斯瓦伦特） 在物质使用同伴影响研究中，分析单模式网络的主要途径是 关于青少年饮酒的研究K99和R 00阶段使用数据的研究来自国家 青少年健康纵向研究（添加健康）和南加州大学收集的数据。不仅让 拟议的研究有可能提供深入了解如何以学校为基础的酒精预防计划 基于社会影响力模型应实施，建议采用两种模式的方法 网络数据不需要收集网络数据（社会计量学）。因此，该方法具有 应用于各种研究并用于各种公共卫生领域的潜力， 传统上不能使用网络方法。公共卫生相关性：研究 该计划特别揭示了同伴影响的新模式，这将有助于理解病因， 改善青少年酒精（和其他物质）的使用，它明确地解决了NIH的使命， 产生与“生命系统行为”相关的知识，并将这些知识应用于 延长健康寿命，减轻疾病和残疾负担。"

6. Project Summary/Abstract The goal of the proposed research is to extend one-mode network data analysis of friendship relations (actor-by-actor network) to two-mode (actor-by-event affiliation/bipartite) network data to model the influence of co-participation in school-based organized activities on adolescent alcohol use. The first aim is to determine the utility of a new conceptualization of affiliation-based network influence by directly modeling (using multiple Network Autocorrelation Models) the effect of two-mode/affiliation exposure on drinking behavior controlling for other competing peer influences primarily those based on close friends or peers occupying similar network position. The second aim is to determine the relative contributions of multiple forms of network effects on alcohol use, and how these network effects operate together as risk factors. The research during the R00 phase will focus on structural properties and the dynamics of two-mode network structural analysis of affiliation networks in relation to alcohol. Related to this, the third aim is to estimate the new specification of two-mode Exponential Random Graph Model (ERGM) with geometric weighting technique to test the effects of co-affiliation on adolescent alcohol use, and it will be extended to longitudinal analysis by stochastically modeling the co-evolution of one-mode and two-mode networks to examine the cross-dependencies in the evolution of friendship and affiliation networks in relation to alcohol use within an actor-based modeling framework. The fourth aim is to explore social mechanisms that drive joint dynamics of affiliation network structures conditioned on one-mode friends' networks in relation to alcohol use. Addressing these questions would help establish the PI's long-term career goal of establishing herself as a specialist in two-mode network, which is separate and distinct from the primary mentor's (Thomas Valente) main approach of analyzing one-mode networks in the study of peer influence on substance use centered on adolescent alcohol use. Research for both K99 and R00 phase use data from both the National Longitudinal Study of Adolescent Health (Add Health) and from USC-collected data. Not only does the proposed study have the potential to provide insight into how school-based alcohol prevention program based on social influence model should be implemented, the proposed approach of using two-mode network data does not require the collection of network data (sociometrics). Therefore this methodology has the potential to be applied to a wide variety of studies and used in various fields of public health that traditionally have not been able to use network methods. PUBLIC HEALTH RELEVANCE: The research plan specifically uncovers new modes of peer influence that will help understand the etiology and amelioration of adolescent alcohol (and other substance) use, it explicitly addresses the NIH mission of producing knowledge related to the "behavior of living systems and the application of that knowledge to extend healthy life and reduce the burdens of illness and disability."