Evidence map›Paper›PMID 31482131›Full record

ArticleSocius : sociological research for a dynamic world

Network Effects in Blau Space: Imputing Social Context from Survey Data.

Miller McPherson, Jeffrey A Smith

Abstract read
In one paragraph

Article in Socius : sociological research for a dynamic world. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Miller McPhersonDuke University.
Jeffrey A SmithUniversity of Nebraska-Lincoln.

Funding

Testing the Efficacy of Ibudilast to Attenuate Meth-seeking and Associated Synaptic Inflammation at the Synapse (TEAMS)P20GM130461 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI SCOTT BARRETT · 2019 to 2026
$20.6M
NIGMS NIH HHS P20 GM130461
6 · The paper itself

Abstract

We develop a method of imputing ego network characteristics for respondents in probability samples of individuals. This imputed network uses the homophily principle to estimate certain properties of a respondent's core discussion network in the absence of actual network data. These properties measure the potential exposure of respondents to the attitudes, values, beliefs, etc. of their (likely) network alters. We use American National Election Survey data (2016 ANES) to demonstrate that the imputed network features show substantial effects on individual level measures, such as political attitudes and beliefs. In some cases, the imputed network variable substantially reduces the effects of standard socio-demographic variables like age and education. We argue that the imputed network variable captures many of the aspects of social context that have been at the core of sociological analysis for decades.

Identifiers

PMID31482131
PMCPMC6720115

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.