@article{9d54c3dda7c548279a51b46c74cc1c00,
title = "Network sampling coverage III: Imputation of missing network data under different network and missing data conditions",
abstract = "Missing data is a common, difficult problem for network studies. Unfortunately, there are few clear guidelines about what a researcher should do when faced with incomplete information. We take up this problem in the third paper of a three-paper series on missing network data. Here, we compare the performance of different imputation methods across a wide range of circumstances characterized in terms of measures, networks and missing data types. We consider a number of imputation methods, going from simple imputation to more complex model-based approaches. Overall, we find that listwise deletion is almost always the worst option, while choosing the best strategy can be difficult, as it depends on the type of missing data, the type of network and the measure of interest. We end the paper by offering a set of practical outputs that researchers can use to identify the best imputation choice for their particular research setting.",
keywords = "Imputation, Missing data, Network bias, Network sampling",
author = "Smith, {Jeffrey A.} and Morgan, {Jonathan H.} and James Moody",
note = "Funding Information: This work was supported by the National Institute of General Medical Sciences of the National Institutes of Health (Grant No. P20 GM130461) and the Rural Drug Addiction Research Center at the University of Nebraska-Lincoln. We would like to thank Jake Fisher and Robin Gauthier for helpful comments on earlier versions of this article. We would like to thank the Prosper Peers project, Mark Mizruchi, Walter Powell, Lisa Keister, and Scott Gest for sharing network data files. The Prosper project is funded by NSF/HSD: 0624158, W. T. Grant Foundation 8316 & NIDA 1R01DA018225-01. The Colorado Springs HIV network was made available through: NIH R01 DA 12831 (PI Morris) Modeling HIV and STD in Drug User and Social Networks. This research uses data from Add Health, a program project designed by J. Richard Udry, Peter S. Bearman, and Kathleen Mullan Harris, and funded by a grant P01-HD31921 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development, with cooperative funding from 17 other agencies. Special acknowledgment is due Ronald R. Rindfuss and Barbara Entwisle for assistance in the original design. Persons interested in obtaining data files from Add Health should contact Add Health, Carolina Population Center, 123 W. Franklin Street, Chapel Hill, NC 27516-2524 (addhealth@unc.edu). No direct support was received from grant P01-HD31921 for this analysis. Funding Information: This work was supported by the National Institute of General Medical Sciences of the National Institutes of Health (Grant No. P20 GM130461 ) and the Rural Drug Addiction Research Center at the University of Nebraska-Lincoln. Funding Information: We would like to thank Jake Fisher and Robin Gauthier for helpful comments on earlier versions of this article. We would like to thank the Prosper Peers project, Mark Mizruchi, Walter Powell, Lisa Keister, and Scott Gest for sharing network data files. The Prosper project is funded by NSF/HSD : 0624158, W. T. Grant Foundation 8316 & NIDA 1R01DA018225-01. The Colorado Springs HIV network was made available through: NIH R01 DA 12831 (PI Morris) Modeling HIV and STD in Drug User and Social Networks. This research uses data from Add Health, a program project designed by J. Richard Udry, Peter S. Bearman, and Kathleen Mullan Harris, and funded by a grant P01-HD31921 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development , with cooperative funding from 17 other agencies. Special acknowledgment is due Ronald R. Rindfuss and Barbara Entwisle for assistance in the original design. Persons interested in obtaining data files from Add Health should contact Add Health, Carolina Population Center, 123 W. Franklin Street, Chapel Hill, NC 27516-2524 ( addhealth@unc.edu ). No direct support was received from grant P01-HD31921 for this analysis. Funding Information: The Prosper data were made available through the following grants: NSF/HSD: 0624158, W.T. Grant Foundation 8316 &NIDA 1R01DA018225−01. Publisher Copyright: {\textcopyright} 2021 Elsevier B.V.",
year = "2022",
month = jan,
doi = "10.1016/j.socnet.2021.05.002",
language = "English (US)",
volume = "68",
pages = "148--178",
journal = "Social Networks",
issn = "0378-8733",
publisher = "Elsevier BV",
}