Using Aggregated Relational Data to Feasibly Identify Network Structure without Network Data.
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ABSTRACT: Social network data are often prohibitively expensive to collect, limiting empirical network research. We propose an inexpensive and feasible strategy for network elicitation using Aggregated Relational Data (ARD): responses to questions of the form "how many of your links have trait k ?" Our method uses ARD to recover parameters of a network formation model, which permits sampling from a distribution over node- or graph-level statistics. We replicate the results of two field experiments that used network data and draw similar conclusions with ARD alone.
SUBMITTER: Breza E
PROVIDER: S-EPMC8439392 | biostudies-literature |
REPOSITORIES: biostudies-literature
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