Hybridized cell phone and survey generated communication network

描述（由申请人提供）：本研究拟采用一种创新的网络测量应用-手机辅助网络检测和识别(CANDID) -建立一个通信网络，并研究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个人调查，这种调查依赖于受访者生成他们网络中的变化者的名字并提供有关这些变化者的信息。然而，以自我为中心的数据收集用于网络表征有几个明显的局限性。最近在使用档案计算机化网络数据（包括电子邮件信息、引文和移动电话提供商数据）方面的进展使得对“整个”网络结构进行更客观的分析成为可能。然而，健康或行为信息的不足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与名称解释器相结合，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）和档案网络数据的不足（特别是缺乏行为健康相关数据）。CANDID是一款低成本应用程序，它利用手机用户身份模块（SIM）读卡器和相关软件，允许根据受访者的手机联系人列表更改身份。手机的改造

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. PUBLIC HEALTH RELEVANCE: The proposed study will utilize an innovative novel social network characterization application - Cell-phone Assisted Network Detection and identification (CANDID) - and field test it in a population of men at high risk for HIV infection. This hybrid CANDID application will allow for investigators to address limitations of two common social network data collection methods - egocentric and archival - and will be leveraged to explore network structure. It will then be specifically applied via an empirical analytic framework to explore potential network explanations for the complex interactions between marital status, sex position and risk of HIV among Indian high risk men.