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Hi. I’m looking for articles on how to handle missing data in network research. How should network measures be modified? What good ways are there of imputing values for the missing data? Thanks in advance.
Professor Emeritus of Sociology
University of California, Los Angeles
Gill, Jeff and John R. Freeman (2013). Dynamic elicited priors for updating covert networks. Network Science, 1, pp 6894 doi:10.1017/nws.2012.6
Handcock, M. S., & Gile, K. J. (2010). Modeling social networks from sampled data. Annals of Applied Statistics, 4, 5–25.
Koskinen, Johan H., Garry L. Robins, and Philippa E. Pattison. "Analysing exponential random graph (p-star) models with missing data using Bayesian data augmentation." Statistical Methodology 7.3 (2010): 366-384.
Koskinen, Johan, G. Robins, and P. Pattison. "Missing data in social networks: Problems and prospects for model-based inference." MelNet Social Networks Laboratory Technical Report (2011): 08-03.
Kossinets, G. (2006). Effects of missing data in social networks. Social Networks, 28, 247–268.
Rhodes, C. J., and P. Jones. "Inferring missing links in partially observed social networks." Journal of the operational research society 60.10 (2009): 1373-1383.
Stork, Diana, and William D. Richards. "Nonrespondents in Communication Network Studies Problems and Possibilities." Group & Organization Management 17.2 (1992): 193-209.
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Subject: Re: miissing data in networks Date: Thu, 17 Apr 2014 23:31:05 +0200 From: Anja Znidarsic <[log in to unmask]> Reply-To: <[log in to unmask]> To: <[log in to unmask]>
Dear Prof. Bonachic,
Few papers on how to handle missinga data in social network research:
- Huisman, M. (2009): Effects of missing data in social networks. Journal of Social Structure, 10. Available at:http://www.cmu.edu/joss/content/articles/volume10/huisman.pdf.
- Huisman, M. and Steglich, C. (2008): Treatment of non-response in longitudinal network studies. Social networks, 30, 297-308.
- Žnidaršič, A, , Ferligoj A., and Doreian P.Non-response in social networks: The impact of different non-response treatments on the stability of blockmodels .Social Networks 34 (4), 438-450
- Žnidaršič, A., Doreian, P., and, Ferligoj A. Absent Ties in Social Networks, their Treatments, and Blockmodeling Outcomes. Advances in Methodology & Statistics/Metodoloski zvezki 9 (2). Available at: www.stat-d.si/mz/mz9.1/znidarsic1.pdf
Assistant Professor of Quantitative Methods
University of Maribor, Slovenia
From: Phillip Bonacich <[log in to unmask]>
To: [log in to unmask]
Date: 17.04.2014 23:14
Subject: [SOCNET] miissing data in networks
Sent by: Social Networks Discussion Forum <[log in to unmask]>
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