Matthew J. Salganik
Matthew J. Salganik
Department of Sociology, Princeton University
Verified email at - Homepage
Cited by
Cited by
Sampling and estimation in hidden populations using respondent‐driven sampling
MJ Salganik, DD Heckathorn
Sociological methodology 34 (1), 193-240, 2004
Experimental study of inequality and unpredictability in an artificial cultural market
MJ Salganik, PS Dodds, DJ Watts
Science 311 (5762), 854-856, 2006
Bit by bit: social research in the digital age
MJ Salganik
Princeton University Press, 2018
Variance estimation, design effects, and sample size calculations for respondent-driven sampling
MJ Salganik
Journal of Urban Health 83 (1), 98-112, 2006
Assessing respondent-driven sampling
S Goel, MJ Salganik
Proceedings of the National Academy of Sciences 107 (15), 6743-6747, 2010
Leading the herd astray: An experimental study of self-fulfilling prophecies in an artificial cultural market
MJ Salganik, DJ Watts
Social psychology quarterly 71 (4), 338-355, 2008
How many people do you know in prison? Using overdispersion in count data to estimate social structure in networks
T Zheng, MJ Salganik, A Gelman
Journal of the American Statistical Association 101 (474), 409-423, 2006
Respondent‐driven sampling as Markov chain Monte Carlo
S Goel, MJ Salganik
Statistics in medicine 28 (17), 2202-2229, 2009
Diagnostics for respondent‐driven sampling
KJ Gile, LG Johnston, MJ Salganik
Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2015
Strengthening the reporting of observational studies in epidemiology for respondent-driven sampling studies:“STROBE-RDS” statement
RG White, AJ Hakim, MJ Salganik, MW Spiller, LG Johnston, L Kerr, ...
Journal of clinical epidemiology 68 (12), 1463-1471, 2015
How many people do you know?: Efficiently estimating personal network size
TH McCormick, MJ Salganik, T Zheng
Journal of the American Statistical Association 105 (489), 59-70, 2010
Web‐based experiments for the study of collective social dynamics in cultural markets
MJ Salganik, DJ Watts
Topics in cognitive science 1 (3), 439-468, 2009
Computational social science: Obstacles and opportunities
DMJ Lazer, A Pentland, DJ Watts, S Aral, S Athey, N Contractor, ...
Science 369 (6507), 1060-1062, 2020
Counting hard-to-count populations: the network scale-up method for public health
HR Bernard, T Hallett, A Iovita, EC Johnsen, R Lyerla, C McCarty, M Mahy, ...
Sexually transmitted infections 86 (Suppl 2), ii11-ii15, 2010
Wiki surveys: Open and quantifiable social data collection
MJ Salganik, KEC Levy
PLoS ONE 10 (5), e0123483, 2015
Measuring the predictability of life outcomes with a scientific mass collaboration
MJ Salganik, I Lundberg, AT Kindel, CE Ahearn, K Al-Ghoneim, ...
Proceedings of the National Academy of Sciences 117 (15), 8398-8403, 2020
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
MJ Salganik, D Fazito, N Bertoni, AH Abdo, MB Mello, FI Bastos
American journal of epidemiology 174 (10), 1190-1196, 2011
Social influence
DJ Watts, MJ Salganik
The Oxford handbook of analytical sociology, 2009
Commentary: respondent-driven sampling in the real world
MJ Salganik
Epidemiology 23 (1), 148-150, 2012
The game of contacts: estimating the social visibility of groups
MJ Salganik, MB Mello, AH Abdo, N Bertoni, D Fazito, FI Bastos
Social networks 33 (1), 70-78, 2011
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