Evidence map›Paper›PMID 41953755›Full record

ArticleSocial networks2026

Understanding the Personal Networks of People Experiencing Homelessness in King County, WA with Aggregate Relational Data.

Zack Almquist, Ihsan Kahveci, Owen Kajfasz, Janelle Rothfolk, Amy Hagopian

Abstract read
In one paragraph

Article in Social networks, 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.

Zack AlmquistUniversity of Washington, Seattle, WA, USA.
Ihsan KahveciUniversity of Washington, Seattle, WA, USA.
Owen KajfaszKing County Regional Homelessness Authority, Seattle, WA, USA.
Janelle RothfolkKing County Regional Homelessness Authority, Seattle, WA, USA.
Amy HagopianUniversity of Washington, Seattle, WA, USA.

Funding

Scientific/Technical CoreP2CHD042828 · NICHD · UNIVERSITY OF WASHINGTON · PI SARA R. CURRAN · 2017 to 2026
$6.3M
NICHD NIH HHS P2C HD042828
6 · The paper itself

Abstract

Personal networks among people experiencing homelessness are vital but often overlooked. Drawing on a unique three-year dataset (2022-2024) from over 3,000 unhoused individuals in King County, Washington, this study analyzes the structure and change of four different personal networks: acquaintances, close friends, kinship (household), and peer referrals. Using this respondent-driven sample data set, we find that the mean size of the acquaintance networks ranged from 22 to 27 people, while the mean number of close friendships declined from 4.9 to 4.19. This drop, despite population growth, suggests a decrease in network density and potentially an increase in social isolation or a shift in composition (e.g., more people experiencing homelessness for the first time). However, we do see growth in the kinship networks, which grew slightly, indicating a greater prevalence of family cohomelessness or reliance on kin. These shifts highlight the need for policies that foster social connection and community stability.

Indexed as

aggregate network dataARDdegree distributiondegree modelEgocentricHomelessness

Identifiers

PMID41953755
PMCPMC13053147

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.