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Missing Network Data A Comparison of Different Imputation Methods
University of Groningen, Groningen, The Netherlands.
University of Groningen, Groningen, The Netherlands.
University of Groningen, Groningen, The Netherlands.ORCID iD: 0000-0002-9097-0873
University of Groningen, Groningen, Netherlands; Nuffield College, Oxford, United Kingdom.
2018 (English)In: 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) / [ed] Ulrik Brandes, Chandan Reddy, Andrea Tagarelli, Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 159-163Conference paper, Published paper (Refereed)
Abstract [en]

This paper compares several imputation methods for missing data in network analysis on a diverse set of simulated networks under several missing data mechanisms. Previous work has highlighted the biases in descriptive statistics of networks introduced by missing data. The results of the current study indicate that the default methods (analysis of available cases and null-tie imputation) do not perform well with moderate or large amounts of missing data. The results further indicate that multiple imputation using sophisticated imputation models based on exponential random graph models (ERGMs) lead to acceptable biases even under large amounts of missing data.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 159-163
Series
Proceedings of IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ISSN 2473-9928, E-ISSN 2473-991X
National Category
Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:liu:diva-170097DOI: 10.1109/ASONAM.2018.8508716ISBN: 9781538660515 (electronic)ISBN: 9781538660522 (print)OAI: oai:DiVA.org:liu-170097DiVA, id: diva2:1471588
Conference
2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Barcelona, Spain,28-31 Aug. 2018
Available from: 2020-09-29 Created: 2020-09-29 Last updated: 2020-09-29Bibliographically approved

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Steglich, Christian

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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