Evidence map›Paper›PMID 34305296›Full record

ArticleSocial networks2022

Worth the Weight: Conceptualizing and Measuring Strong Versus Weak Tie Homophily.

Cassie McMillan

Abstract read
In one paragraph

Article in Social networks, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

1 author.

Cassie McMillanNortheastern University.

Funding

Partnership Model for Diffusion of Proven PreventionR01DA013709 · NIDA · IOWA STATE UNIVERSITY · PI SPOTH, RICHARD · 2002 to 2017
$35.0M
PREVENTION AND METHODOLOGY TRAINING (PAMT)T32DA017629 · NIDA · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI Eric D Claus, Rina D Eiden · 2005 to 2026
$9.5M
Modeling Peer Networks to Inform Substance Use Prevention ResearchF31DA024497 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI RULISON, KELLY LIN · 2007 to 2008
$71k
NIDA NIH HHS F31 DA024497NIDA NIH HHS R01 DA013709NIDA NIH HHS T32 DA017629
6 · The paper itself

Abstract

Homophily, or the tendency for social contact to occur among those who are similar, plays a crucial role in structuring our social networks. Most previous work considers whether homophily shapes the patterns of all social ties, regardless of their frequency of interaction or level of intimacy. As complex network data become increasingly available, however, researchers need to evaluate whether homophily operates differently for ties defined by strong versus weak measures of strength. Here, I take this approach by first defining two variants of homophily: (1)

Indexed as

Homophilystrong tie homophilytie strengthvalued ERGMsweak tie homophily

Identifiers

PMID34305296
PMCPMC8294076

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.