Evidence map›Paper›PMID 41775728›Full record

ArticleScientific data2026

A Blue Start: A large-scale pairwise and higher-order social network dataset.

Alyssa Hasegawa Smith, Ilya Amburg, Sagar Kumar, Brooke Foucault Welles, Nicholas W Landry

Abstract read
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Alyssa Hasegawa SmithNetwork Science Institute, Northeastern University, Boston, Massachusetts, USA. smith.alyss@northeastern.edu.
Ilya AmburgPacific Northwest National Laboratory, Seattle, Washington, USA. ilya.amburg@pnnl.gov.
Sagar KumarNetwork Science Institute, Northeastern University, Boston, Massachusetts, USA. kumar.sag@northeastern.edu.
Brooke Foucault WellesNetwork Science Institute, Northeastern University, Boston, Massachusetts, USA. b.welles@northeastern.edu.
Nicholas W LandryDepartment of Biology, University of Virginia, Charlottesville, Virginia, USA. nicholas.landry@virginia.edu.ORCID http://orcid.org/0000-0003-1270-4980

Funding

National Science Foundation (NSF) 1938052
6 · The paper itself

Abstract

Large-scale networks have been instrumental in shaping how we think about social systems, and have undergirded many foundational results in mathematical epidemiology, computational social science, and biology. However, many of the social systems through which diseases spread, information disseminates, and individuals interact are inherently mediated through groups, known as higher-order interactions. A gap exists between higher-order models of group formation and spreading processes and the data necessary to validate these mechanisms. Similarly, few datasets bridge the gap between pairwise and higher-order network data. The Bluesky social media platform is an ideal laboratory for observing social ties at scale through its open API. Not only does Bluesky contain pairwise following relationships, but it also contains higher-order social ties known as "starter packs" which are user-curated lists designed to promote social network growth. We introduce "A Blue Start", a large-scale network dataset comprising 39.7M user accounts, 2.4B pairwise following relationships, and 365.8K groups representing starter packs. This dataset will be an essential resource for the study of higher-order networks.

Identifiers

PMID41775728
PMCPMC13066036

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LicenceCC BY-NC-ND
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Registered trials

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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.