Literature DB >> 21318126

The Game of Contacts: Estimating the Social Visibility of Groups.

Matthew J Salganik1, Maeve B Mello, Alexandre H Abdo, Neilane Bertoni, Dimitri Fazito, Francisco I Bastos.   

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.

Entities:  

Year:  2011        PMID: 21318126      PMCID: PMC3035387          DOI: 10.1016/j.socnet.2010.10.006

Source DB:  PubMed          Journal:  Soc Networks        ISSN: 0378-8733


  15 in total

1.  Real and perceived attitude agreement in social networks.

Authors:  Sharad Goel; Winter Mason; Duncan J Watts
Journal:  J Pers Soc Psychol       Date:  2010-10

2.  Implementation challenges to using respondent-driven sampling methodology for HIV biological and behavioral surveillance: field experiences in international settings.

Authors:  Lisa Grazina Johnston; Mohsen Malekinejad; Carl Kendall; Irene M Iuppa; George W Rutherford
Journal:  AIDS Behav       Date:  2008-06-06

3.  The social structural basis of the organization of persons in memory.

Authors:  D D Brewer
Journal:  Hum Nat       Date:  1995-12

Review 4.  Estimating the number of men who have sex with men in low and middle income countries.

Authors:  C Cáceres; K Konda; M Pecheny; A Chatterjee; R Lyerla
Journal:  Sex Transm Infect       Date:  2006-06       Impact factor: 3.519

Review 5.  Variance estimation, design effects, and sample size calculations for respondent-driven sampling.

Authors:  Matthew J Salganik
Journal:  J Urban Health       Date:  2006-11       Impact factor: 3.671

6.  Estimation of seroprevalence, rape, and homelessness in the United States using a social network approach.

Authors:  P D Killworth; C McCarty; H R Bernard; G A Shelley; E C Johnsen
Journal:  Eval Rev       Date:  1998-04

7.  The illusion of transparency: biased assessments of others' ability to read one's emotional states.

Authors:  T Gilovich; K Savitsky; V H Medvec
Journal:  J Pers Soc Psychol       Date:  1998-08

8.  AN EMPIRICAL TEST OF RESPONDENT-DRIVEN SAMPLING: POINT ESTIMATES, VARIANCE, DEGREE MEASURES, AND OUT-OF-EQUILIBRIUM DATA.

Authors:  Cyprian Wejnert
Journal:  Sociol Methodol       Date:  2009-08-01

9.  Respondent-Driven Sampling: An Assessment of Current Methodology.

Authors:  Krista J Gile; Mark S Handcock
Journal:  Sociol Methodol       Date:  2010-08

10.  Respondent-driven sampling as Markov chain Monte Carlo.

Authors:  Sharad Goel; Matthew J Salganik
Journal:  Stat Med       Date:  2009-07-30       Impact factor: 2.373

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  28 in total

1.  Population Size Estimation of Men Who Have Sex with Men in Ho Chi Minh City and Nghe An Using Social App Multiplier Method.

Authors:  Ali Safarnejad; Nguyen Thien Nga; Vo Hai Son
Journal:  J Urban Health       Date:  2017-06       Impact factor: 3.671

2.  Evaluating Sampling Biases from Third-party Reporting as a Method for Improving Survey Measures of Sensitive Behaviors.

Authors:  Stéphane Helleringer; Jimi Adams; Sara Yeatman; James Mkandawire
Journal:  Soc Networks       Date:  2019-07-29

3.  LATENT DEMOGRAPHIC PROFILE ESTIMATION IN HARD-TO-REACH GROUPS.

Authors:  Tyler H McCormick; Tian Zheng
Journal:  Ann Appl Stat       Date:  2012-12       Impact factor: 2.083

4.  Underreporting in HIV-related high-risk behaviors: comparing the results of multiple data collection methods in a behavioral survey of prisoners in Iran.

Authors:  Ali Mirzazadeh; Mostafa Shokoohi; Soodabeh Navadeh; Ahmad Danesh; Jennifer Jain; Abbas Sedaghat; Marziyeh Farnia; AliAkbar Haghdoost
Journal:  Prison J       Date:  2018-01-24

5.  Generalizing the Network Scale-Up Method: A New Estimator for the Size of Hidden Populations.

Authors:  Dennis M Feehan; Matthew J Salganik
Journal:  Sociol Methodol       Date:  2016-09-20

6.  Estimating Population Size Using the Network Scale Up Method.

Authors:  Rachael Maltiel; Adrian E Raftery; Tyler H McCormick; Aaron J Baraff
Journal:  Ann Appl Stat       Date:  2015-09       Impact factor: 2.083

7.  Counting hard-to-count populations: the network scale-up method for public health.

Authors:  H Russell Bernard; Tim Hallett; Alexandrina Iovita; Eugene C Johnsen; Rob Lyerla; Christopher McCarty; Mary Mahy; Matthew J Salganik; Tetiana Saliuk; Otilia Scutelniciuc; Gene A Shelley; Petchsri Sirinirund; Sharon Weir; Donna F Stroup
Journal:  Sex Transm Infect       Date:  2010-12       Impact factor: 3.519

8.  Assessing network scale-up estimates for groups most at risk of HIV/AIDS: evidence from a multiple-method study of heavy drug users in Curitiba, Brazil.

Authors:  Matthew J Salganik; Dimitri Fazito; Neilane Bertoni; Alexandre H Abdo; Maeve B Mello; Francisco I Bastos
Journal:  Am J Epidemiol       Date:  2011-10-14       Impact factor: 4.897

9.  Social network size estimation and determinants in tehran province residents.

Authors:  Mohsen Shati; AliAkbar Haghdoost; Reza Majdzadeh; Kazem Mohammad; SeyedeSalehe Mortazavi
Journal:  Iran J Public Health       Date:  2014-08       Impact factor: 1.429

10.  Population size estimation of men who have sex with men through the network scale-up method in Japan.

Authors:  Satoshi Ezoe; Takeo Morooka; Tatsuya Noda; Miriam Lewis Sabin; Soichi Koike
Journal:  PLoS One       Date:  2012-01-27       Impact factor: 3.240

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