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To Improve Network Measurement, Minimize Opportunities for Error

Published on May 28, 2018 by

Measuring social, biological, and other networks is often a difficult and expensive process, involving surveys, experiments, or other time consuming and costly procedures.  Given that no measurement is perfect, how do we get the greatest “bang for the buck” when trying to assess network ties?  A new paper by NCASD lab members Francis Lee and

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