Evidence map›Paper›PMID 38594309›Full record

ArticleScientific reports2024

Individual differences in knowledge network navigation.

Manran Zhu, Taha Yasseri, János Kertész

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. 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

3 authors.

Manran ZhuDepartment of Network and Data Science, Central European University, 1100, Vienna, Austria. Zhu_Manran@phd.ceu.edu.
Taha YasseriSchool of Sociology, University College Dublin, Dublin 4, D04 V1W8, Ireland.
János KertészDepartment of Network and Data Science, Central European University, 1100, Vienna, Austria.

Funding

Alexander von Humboldt-Stiftung,Germany AvH 1013585 - HUN - IPH2020 European Research Council No. 810115-DYNASETH2020 Excellent Science No. 871042-SoBigData++H2020 Industrial Leadership No. 952026-Humane AI NetLearnData-HORIZON-WIDERA-2022-TALENTS-01 101086712
6 · The paper itself

Abstract

With the rapid accumulation of online information, efficient web navigation has grown vital yet challenging. To create an easily navigable cyberspace catering to diverse demographics, understanding how people navigate differently is paramount. While previous research has unveiled individual differences in spatial navigation, such differences in knowledge space navigation remain sparse. To bridge this gap, we conducted an online experiment where participants played a navigation game on Wikipedia and completed personal information questionnaires. Our analysis shows that age negatively affects knowledge space navigation performance, while multilingualism enhances it. Under time pressure, participants' performance improves across trials and males outperform females, an effect not observed in games without time pressure. In our experiment, successful route-finding is usually not related to abilities of innovative exploration of routes. Our results underline the importance of age, multilingualism and time constraint in the knowledge space navigation.

Indexed as

MultilingualismSpatial NavigationFemaleHumansIndividualityMaleHuman navigationKnowledge networksOnline experimentOnline gameWikipedia

Identifiers

PMID38594309
PMCPMC11379931

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.