ArticleThe American economic review2020
Using Aggregated Relational Data to Feasibly Identify Network Structure without Network Data.
Article in The American economic review, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Understanding the Personal Networks of People Experiencing Homelessness in King County, WA with Aggregate Relational Data.Social networks · 2026Article
- The Measurement Properties of Aggregated Relational Data and NSUM-Estimated Network Size.Sociological methodology · 2025Article
- Unveiling the social fabric through a temporal, nation-scale social network and its characteristics.Scientific reports · 2025Article
- Consistently estimating network statistics using aggregated relational data.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Impact of Survey Design on Estimation of Exponential-Family Random Graph Models from Egocentrically-Sampled Data.Social networks · 2022Article
- Thirty Years of The Network Scale-up Method.Journal of the American Statistical Association · 2021Article
- Using Aggregated Relational Data to Feasibly Identify Network Structure without Network Data.The American economic review · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
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.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.