Evidence map›Paper›PMID 33690698›Full record

ArticlePloS one2021

Analysis of mobility homophily in Stockholm based on social network data.

Cate Heine, Cristina Marquez, Paolo Santi, Marcus Sundberg, Miriam Nordfors, Carlo Ratti

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Cate HeineSenseable City Lab, Massachusetts Institute of Technology, Cambridge, MA, United States of America.ORCID 0000-0002-4033-3761
Cristina MarquezUniversidad Carlos III de Madrid, Leganés, Spain.ORCID 0000-0002-2924-4362
Paolo SantiSenseable City Lab, Massachusetts Institute of Technology, Cambridge, MA, United States of America.
Marcus SundbergDepartment of Urban Planning and Environment, Division of Systems Analysis and Economics, KTH Royal Institute of Technology, Stockholm, Sweden.
Miriam NordforsStrategi- och utvecklingsenheten, Stockholms Stad, Stockholm, Sweden.
Carlo RattiSenseable City Lab, Massachusetts Institute of Technology, Cambridge, MA, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a novel metric for measuring relative connection between parts of a city using geotagged Twitter data as a proxy for co-occurrence of city residents. We find that socioeconomic similarity is a significant predictor of this connectivity metric, which we call "linkage strength": neighborhoods that are similar to one another in terms of residents' median income, education level, and (to a lesser extent) immigration history are more strongly connected in terms of the of people who spend time there, indicating some level of homophily in the way that individuals choose to move throughout a city's districts.

Indexed as

Social NetworkingCitiesEducational StatusEmigration and ImmigrationHumansIncomeResidence CharacteristicsSocial MediaSweden

Identifiers

PMID33690698
PMCPMC7943013

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.