Comparing Social Network Influence on Alcohol Use Using Affiliation Data

描述（由申请人提供）：本研究的目标是将友谊关系的单模式网络数据分析（行动者-行动者网络）扩展到双模式（行动者-事件关联/三方）网络数据，以模拟共同参与校本组织活动对青少年酒精使用的影响。第一个目的是通过直接建模（使用多个网络自相关模型）双模式/隶属关系暴露对饮酒行为的影响来确定基于关系的网络影响的新概念的效用，以控制其他竞争同伴的影响，主要是基于亲密朋友或占据相似网络位置的同伴的影响。第二个目标是确定多种形式的网络效应对酒精使用的相对贡献，以及这些网络效应如何作为风险因素共同作用。在R00阶段的研究将集中于与醇相关的隶属关系网络的结构特性和双模网络结构分析的动态。与此相关，第三个目的是利用几何加权技术估计双模指数随机图模型（ERGM）的新规范，以检验共隶属关系对青少年酒精使用的影响。并将其扩展到纵向分析，通过对单模式和双模式网络的共同进化进行随机建模，以在基于行为者的建模框架内检查与酒精使用相关的友谊和从属网络进化中的交叉依赖。第四个目标是探索驱动与酒精使用有关的单模朋友网络的隶属关系网络结构联合动态的社会机制。解决这些问题将有助于确立私家侦探的长期职业目标，使自己成为双模式网络的专家，这与主要导师（托马斯·瓦伦特）在以青少年酒精使用为中心的同龄人对物质使用的影响研究中分析单模式网络的主要方法是分开和不同的。K99和R00阶段的研究使用了来自国家青少年健康纵向研究（Add Health）和南加州大学收集的数据。提议的研究不仅有可能为如何实施基于社会影响模型的学校酒精预防计划提供见解，而且提议的使用双模式网络数据的方法不需要收集网络数据（社会计量学）。因此，这种方法有可能应用于各种各样的研究，并用于传统上无法使用网络方法的公共卫生各个领域。公共卫生相关性：该研究计划特别揭示了同伴影响的新模式，这将有助于了解青少年酒精（和其他物质）使用的病因和改善，它明确地解决了NIH的使命，即产生与“生命系统的行为和应用这些知识来延长健康生活和减少疾病和残疾的负担”相关的知识。

DESCRIPTION (provided by applicant): 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 f 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." PUBLIC HEALTH RELEVANCE: The goal of the proposed research is develop and explore the possibilities of the transmission of substance use through group affiliations, frequently in the form of school-sponsored sports or similar activities. If affiliation exposure has anywhere near the explanatory power of traditional social influence models, the expanded opportunities for data collection and influence estimation using data that is traditionally collected but not used in this way will provide a substantial new source of insight for understanding the etiology and amelioration of adolescent alcohol (and other substance) use.