Social network positional selection of peer change agents

同伴变革推动者的社交网络位置选择

• 批准号: 8263507
• 负责人: John Schneider
• 金额: $ 24.51万
• 依托单位: UNIVERSITY OF CHICAGO
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-03-01 至 2015-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8263507
• 关键词: AIDS prevention; Address; Adopted; Affect; Algorithms; Behavioral; Biometry; Businesses; Cellular Phone; Characteristics; Communication; Communities; Data; Data Analyses; Data Collection; Diffuse; Diffusion; Diffusion of Innovation; Disease; Effectiveness; Evaluation; Future; HIV; HIV Infections; HIV risk; India; Individual; Infection; International; Intervention; Interview; Leadership; Link; Literature; Logic; Male Circumcision; Measures; Methodology; Methods; Modeling; Participant; Pathway Analysis; Patient Self-Report; Plant Roots; Population; Population Policies; Positioning Attribute; Prevention program; Preventive Intervention; Public Health; Recruitment Activity; Reliance; Reporting; Research; Risk; Risk Reduction; Signal Transduction; Social Network; Social status; Structural Models; Techniques; Testing; Training; Uncertainty; Work; authority; base; communication behavior; condoms; digital; experience; field survey; high risk; high risk men; informant; innovation; insight; interest; mathematical model; member; men who have sex with men; microbicide; novel; outreach; peer; peer influence; psychosocial; public health relevance; skills training; skin color; social

DESCRIPTION (provided by applicant): We will assess peer change agent communication effectiveness through mathematical models that utilize change agent attribute and structural position parameters developed through existing digital communication networks. Peer change agent (PCA)-based HIV prevention programs capitalize on the phenomenon of peer influence and how members in social networks communicate with one another. PCA-based interventions are the most frequently used outreach HIV prevention interventions and have been widely implemented both domestically and internationally. Existing PCA-based interventions, however, have yielded disappointing results in international settings. The central postulate of this proposa is that the change agent can often be more important than the message itself. Oftentimes, the messages promoted by public health officials may be of limited interest to others, even to those at increased HIV risk. In fact, when messages are of limited interest, those at increased HIV risk will tend to focus more on who the change agent is. The selection of change agents based in whole or in part upon their structural position as measured by formal social network characterization is one approach to increase potency of peer influence: it has been successful in business organization-based interventions. It has not, however, been empirically tested in the public health realm. By adopting this methodology, this proposal moves beyond traditional peer outreach models. In addition to utilizing the structural network position of PCAs to enhance the diffusion of innovation, our model also parameterizes important attributes of PCAs, which are determined by primary data collection from a large network of men who have sex with men in South India. These PCA attributes include social status features, leadership and communication behavior, tie qualities with members of their network, and physical attributes. Previously we have developed an innovative approach to social network characterization in this setting that allows for augmented network characterization through the use of cell phone communication networks in high- risk men. We have field survey data collection expertise in India and experience with large scale social network data collection and analyses. We also have experience in diffusion of innovation analyses through social networks and utilizing mathematical models for determining diffusion of disease and/or information through networks of men who have sex with men (MSM). Thus we will model condom communication within the network using attributes generated from participant interviews and social network-generated structural positions. Candidate PCAs will be selected using three classes of algorithms: (1) attribute-based; (2) position- based; and (3) combined attribute- and position-based. Flow of condom information in the network will be explored using multiple stochastic models that address missing data and are parameterized using self- and peer-evaluation data. In future work, we will test how novel bio-behavioral prevention interventions, diffuse through a network facilitated by strategically selected peer change agents.

描述（由申请人提供）：我们将通过利用现有数字通信网络开发的变革主体属性和结构位置参数的数学模型来评估同行变革主体沟通的有效性。以同伴改变代理（PCA）为基础的艾滋病毒预防项目利用了同伴影响现象以及社会网络中的成员如何相互沟通。基于pca的干预措施是最常用的外展艾滋病毒预防干预措施，在国内和国际上都得到了广泛实施。然而，现有的基于pcca的干预措施在国际环境中产生了令人失望的结果。这个提议的中心假设是，变革的推动者往往比信息本身更重要。通常，公共卫生官员宣传的信息可能对其他人，甚至对艾滋病毒风险增加的人感兴趣有限。事实上，当信息的兴趣有限时，那些艾滋病毒风险增加的人将倾向于更多地关注谁是变革的推动者。变革推动者的选择全部或部分基于正式社会网络特征所衡量的其结构地位，这是增加同伴影响效力的一种方法：它在基于商业组织的干预中取得了成功。然而，它还没有在公共卫生领域得到实证检验。通过采用这种方法，该提案超越了传统的同伴外展模式。除了利用PCAs的结构网络位置来增强创新的扩散外，我们的模型还参数化了PCAs的重要属性，这些属性是通过从南印度的大型男男性行为网络中收集的原始数据确定的。这些PCA属性包括社会地位特征、领导和沟通行为、与网络成员的联系品质以及物理属性。在此之前，我们已经开发了一种创新的社会网络表征方法，通过在高风险男性中使用手机通信网络来增强网络表征。我们在印度有实地调查数据收集专业知识，并有大规模社交网络数据收集和分析的经验。我们在通过社会网络传播创新分析和利用数学模型确定通过男男性行为者网络传播疾病和/或信息方面也有经验。因此，我们将使用从参与者访谈和社会网络生成的结构位置生成的属性来模拟网络中的安全套通信。候选pca将使用三类算法进行选择：(1)基于属性的；(2)基于位置的；(3)基于属性和位置相结合。安全套信息在网络中的流动将使用多个随机模型进行探索，这些模型解决了缺失的数据，并使用自我和同行评估数据进行参数化。在未来的工作中，我们将测试新的生物行为预防干预措施如何通过战略选择的同伴变化代理人促进的网络扩散。