Hybridized cell phone and survey generated communication network

描述（由申请人提供）：拟议的研究应用了一种创新的网络测量应用程序-手机辅助网络检测和识别（CANDID）-建立一个通信网络，并检查其与艾滋病毒感染高危男性健康相关行为的关系。大多数关于健康和行为的网络研究都使用了以自我为中心的调查，这种调查依赖于受访者在他们的网络中产生改变的名字并提供关于他们的信息。然而，以自我为中心的数据收集网络表征的效用有几个明显的局限性。最近的进步，在使用档案计算机化的网络数据，包括电子邮件消息，引文，和手机提供商的数据，允许更客观的分析“整个”网络结构。然而，健康或行为信息的缺陷是这些数据集所固有的。我们计划通过应用新开发的网络测量算法CANDID，结合名称解释器，解决当前基础网络研究的至少两个局限性：受访者偏见（回忆，识别和遗忘）和档案网络数据的缺陷（特别是缺乏行为健康相关数据）。CANDID是一种低成本的应用程序，它利用手机用户身份模块（SIM）读卡器和相关软件，允许从受访者的手机联系人名单中进行绑定/更改识别。手机转型 号码将作为每个答复者和联系人的“唯一标识符”。有了强有力的隐私保护措施，我们能够明确地链接所有抽样受访者的联系人列表，以生成一个“增强”网络，即受访者的网络关系信息加上所有其他参与者（包括非抽样参与者）的关系信息。然后，抽样受访者的名称解释器数据提供补充的领带/改变属性信息。这种链接来自抽样受访者的手机联系人列表的方法结合了档案和以自我为中心的网络数据收集，允许通过调查数据、领带属性和演员健康行为特征来测量演员之间的无向和有向联系。这种混合的方法将被用来探索印度男性与男性发生性关系（MSM）的通信网络结构。然后，它将通过一个实证分析框架，探讨印度男男性接触者的大型增强网络之间的婚姻状况，性地位和艾滋病毒风险之间的复杂的相互作用，具体应用。

DESCRIPTION (provided by applicant): The proposed research applies an innovative network measurement application - Cell-phone Assisted Network Detection and Identification (CANDID) - to establish a communication network and examine its relation to health related behaviors for men at high risk for HIV infection. Most network studies of health and behavior have used egocentric surveys of individuals that depend on respondents generating the names of alters in their network and providing information on them. However, the utility of egocentric data collection for network characterization has several clear limitations. Recent advances in use of archival computerized network data including email messages, citations, and cell phone provider data has allowed for more objective analyses of "whole" network structure. However, deficiencies in health or behavioral information are inherent to such datasets. We plan to address at least two limitations of current basic network research: respondent bias (recall, recognition and forgetting) and deficiencies in archival network data (especially the lack of behavioral health related data) by applying a newly developed network measurement algorithm, CANDID, combined with a name interpreter. CANDID is a low-cost application that utilizes a cell-phone Subscriber Identity Module (SIM) card reader and associated software to allow for tie/alter identification from respondents' cell phone contact lists. A transformation of cell phone numbers will serve as a "unique identifier" for each respondent and contact. With strong privacy protections in place, we are able to unambiguously link contact lists of all sampled respondents to generate an "augmented" network, that is, network tie information for respondents plus tie information for all other actors (including non-sampled actors). Name interpreter data of sampled respondents then provides complementary tie/alter attribute information. This approach of linking cell phone contact lists from sampled respondents combines archival and egocentric network data collection allowing for measurement of undirected and directed ties between actors with confidence and through survey data, tie attributes and actor health behavior characteristics. This hybrid approach will be leveraged to explore communication network structures in Indian men who have sex with men (MSM). It will then be specifically applied via an empirical analytic framework to explore the complex interactions between marital status, sex position and HIV risk among a large augmented network of Indian MSM.