Evidence map›Paper›PMID 31363485›Full record

ArticleSociological science2019

Structure of Online Dating Markets in U.S. Cities.

Elizabeth E Bruch, M E J Newman

Abstract read
In one paragraph

Article in Sociological science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. A guide to choosing and implementing reference models for social network analysis.Biological reviews of the Cambridge Philosophical Society · 2021
    Review
  8. Article
  9. Article
  10. Article
  11. Location inference for hidden population with online text analysis.International journal of health geographics · 2020
    Article
  12. Network Evolution of a Large Online MSM Dating Community: 2005-2018.International journal of environmental research and public health · 2019
    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

2 authors.

Elizabeth E BruchDepartment of Sociology and Center for the Study of Complex Systems, University of Michigan, and Santa Fe Institute.
M E J NewmanDepartment of Physics and Center for the Study of Complex Systems, University of Michigan, and Santa Fe Institute.

Funding

Scientific/Technical CoreP2CHD041028 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sarah A. Burgard · 2017 to 2026
$6.5M
Cognitively Plausible Models of Decision MakingK01HD079554 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BRUCH, ELIZABETH EVE · 2014 to 2019
$653k
NICHD NIH HHS K01 HD079554NICHD NIH HHS P2C HD041028
6 · The paper itself

Abstract

We study the structure of heterosexual dating markets in the United States through an analysis of the interactions of several million users of a large online dating website, applying recently developed network analysis methods to the pattern of messages exchanged among users. Our analysis shows that the strongest driver of romantic interaction at the national level is simple geographic proximity, but at the local level, other demographic factors come into play. We find that dating markets in each city are partitioned into submarkets along lines of age and ethnicity. Sex ratio varies widely between submarkets, with younger submarkets having more men and fewer women than older ones. There is also a noticeable tendency for minorities, especially women, to be younger than the average in older submarkets, and our analysis reveals how this kind of racial stratification arises through the messaging decisions of both men and women. Our study illustrates how network techniques applied to online interactions can reveal the aggregate effects of individual behavior on social structure.

Indexed as

computational social sciencemarketsnetworksonline dating

Identifiers

PMID31363485
PMCPMC6666423

What OpenQuestion holds

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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.