Evidence map›Paper›PMID 37096207›Full record

ReviewComputational urban science2022

Spatial social network research: a bibliometric analysis.

Ling Wu, Qiong Peng, Michael Lemke, Tao Hu, Xi Gong

Abstract readReview
In one paragraph

Review in Computational urban science, 2022. 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. Geodesign in the era of artificial intelligence.Frontiers of urban and rural planning · 2025
    Review
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.

Ling WuTexas Research Data Center, Texas A&M University, College Station, USA.ORCID 0000-0002-7479-1701
Qiong PengDepartment of Computer Science, Northeastern University, Boston, USA.
Michael LemkeDepartment of Social Sciences, University of Houston-Downtown, Houston, USA.
Tao HuDepartment of Geography, Oklahoma State University, Stillwater, USA.
Xi GongDepartment of Geography and Environmental Studies, University of New Mexico, Albuquerque, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A restless and dynamic intellectual landscape has taken hold in the field of spatial social network studies, given the increasingly attention towards fine-scale human dynamics in this urbanizing and mobile world. The measuring parameters of such dramatic growth of the literature include scientific outputs, domain categories, major journals, countries, institutions, and frequently used keywords. The research in the field has been characterized by fast development of relevant scholarly articles and growing collaboration among and across institutions. The

Indexed as

GeographySocial mediaSocial network

Identifiers

PMID37096207
PMCPMC10115482

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.