Author | Salganik, Matthew J. | |
Author | Mello, Maeve Brito de | |
Author | Abdo, Alexandre H. | |
Author | Bertoni, Neilane | |
Author | Fazito, Dimitri | |
Author | Bastos, Francisco Inácio Pinkusfeld Monteiro | |
Access date | 2011-06-27T16:37:42Z | |
Available date | 2011-06-27T16:37:42Z | |
Document date | 2011 | |
Citation | SALGANIK, Matthew J. et al. The game of contacts: estimating the social visibility of groups. Social Networks, v. 33, n. 1, p.70-78, 2011. | pt_BR |
ISSN | 0378-8733 | |
URI | https://www.arca.fiocruz.br/handle/icict/2735 | |
Language | eng | pt_BR |
Rights | restricted access | pt_BR |
Subject in Portuguese | Método Network Scale-up | pt_BR |
Subject in Portuguese | Populações Ocultas | pt_BR |
Subject in Portuguese | Amostragem de Rede | pt_BR |
Subject in Portuguese | Vigilância da Doença HIV/AIDS | pt_BR |
Subject in Portuguese | Fluxo de Informações | pt_BR |
Title | The game of contacts: estimating the social visibility of groups | pt_BR |
Type | Article | |
DOI | 10.1016/j.socnet.2010.10.006 | pt_BR |
Abstract | Estimating the sizes of hard-to-count populations is a challenging and important problem that occurs
frequently in social science, public health, and public policy. This problem is particularly pressing in
HIV/AIDS research because estimates of the sizes of the most at-risk populations—illicit drug users, men
who have sex with men, and sex workers—are needed for designing, evaluating, and funding programs
to curb the spread of the disease. A promising new approach in this area is the network scale-up method,
which uses information about the personal networks of respondents to make population size estimates.
However, if the target population has low social visibility, as is likely to be the case in HIV/AIDS research,
scale-up estimates will be too low. In this paper we develop a game-like activity that we call the game of
contacts in order to estimate the social visibility of groups, and report results from a study of heavy drug
users in Curitiba, Brazil (n = 294). The game produced estimates of social visibility that were consistent
with qualitative expectations but of surprising magnitude. Further, a number of checks suggest that the
data are high-quality. While motivated by the specific problem of population size estimation, our method
could be used by researchers more broadly and adds to long-standing efforts to combine the richness of
social network analysis with the power and scale of sample surveys. | pt_BR |
Affilliation | Princeton University. Department of Sociology and Office of Population Research. Princeton, NJ, USA. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Laboratório de Informação em Saúde.Rio de Janeiro, RJ, Brasil. | pt_BR |
Affilliation | Universidade de São Paulo. Departamento de Física. São Paulo, SP, Brasil. | pt_BR |
Affilliation | Universidade Federal de Minas Gerais. Departamento de Demografia do Centro de Desenvolvimento e Planejamento Regional. Belo Horizonte, MG, Brasil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Laboratório de Informação em Saúde.Rio de Janeiro, RJ, Brasil. | pt_BR |
Affilliation | Fulbright/Capes Visiting Scholar, Brown University, Providence, RI, USA. | pt_BR |
Subject | Network Scale-up Method | pt_BR |
Subject | Hidden Populations | pt_BR |
Subject | Network Sampling | pt_BR |
Subject | HIV/AIDS Disease Surveillance | pt_BR |
Subject | Information Flow | pt_BR |
DeCS | Estimativas de População | pt_BR |
DeCS | Projeções de População | pt_BR |
DeCS | Amostragem | pt_BR |
DeCS | HIV | pt_BR |
DeCS | Epidemiologia | pt_BR |
DeCS | Disseminação de Informação | pt_BR |