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Network sampling coverage II: The effect of non-random missing data on network measurement
Missing data is an important, but often ignored, aspect of a network study. Measurement validity is affected by missing data, but the level of bias can be difficult to gauge. Here, we describe the effect of missing data on network measurement across widely different circumstances. In Part I of this...
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| Gepubliceerd in: | Soc Networks |
|---|---|
| Hoofdauteurs: | , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2017
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5110009/ https://ncbi.nlm.nih.gov/pubmed/27867254 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.socnet.2016.04.005 |
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