@article{25ddf69a26d4477895dbb2bcb8ab4fb8,
title = "Who knows your HIV status? What HIV + patients and their network members know about each other",
abstract = "This research reports on an analysis of personal network data collected from 70 HIV-positive HIV/AIDS patients (48 men, 22 women; 45 black, 25 white). Issues examined were the conditions surrounding the difficulty of knowing information about social network members, including knowledge of HIV status. The stigmatizing nature of AIDS resulted in selective knowledge regarding a person's HIV status (and other information) among their social network members. Informants' networks appeared smaller than those for other groups we have investigated, and this may be due to informant self-limiting, or alter rejection of HIV informant. These results will be useful in determining the amount of HIV + in the general population, and these methods could be applied to other hard-to-count populations.",
author = "Shelley, {Gene A.} and Bernard, {H. Russell} and Peter Killworth and Eugene Johnsen and Christopher McCarty",
note = "Funding Information: Previous research has attempted to use social network methods to estimate hard-to-count populations, specifically the incidence of HIV-positive individuals (Bernard et al., 1989, 199l; Laumann et al., 1989, 1993; Killworth et al., 1990, 1995; This work was conducted under NSF grant No. SBR-9213615. Much of the analysis took place with the welcome hospitality of the Bureau of Economic and Business Research at the University of Florida, which also provided computing support. We are also indebted to Georgia State University for providing office space for some of the interviews. In addition, we would like to thank Howard Kress and Craig Lindsey for assisting with some of the data collection. Most of all, we are extremely grateful for the time, energy and openness of all the HIV-positive individuals who participated in these interviews. * Corresponding author, at 2517 Roseberry Lane, Grayson, GA 30221, USA.",
year = "1995",
doi = "10.1016/0378-8733(95)00262-M",
language = "English (US)",
volume = "17",
pages = "189--217",
journal = "Social Networks",
issn = "0378-8733",
publisher = "Elsevier BV",
number = "3-4",
}