Evidence map›Paper›PMID 40989465›Full record

ArticlePeerJ. Computer science2025

Bridges in social networks: current status and challenges.

Jeongseon Kim, Soohwan Jeong, Jungeun Kim, Sungsu Lim

Abstract read
In one paragraph

Article in PeerJ. Computer science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Jeongseon KimDepartment of Computer Science and Engineering, Chungnam National University, Daejeon, Republic of Korea.
Soohwan JeongDepartment of Computer Science and Engineering, Chungnam National University, Daejeon, Republic of Korea.ORCID 0000-0001-8071-7340
Jungeun KimDepartment of Computer Engineering, Inha University, Incheon, Republic of Korea.
Sungsu LimDepartment of Computer Science and Engineering, Chungnam National University, Daejeon, Republic of Korea.ORCID 0000-0001-5924-3398

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In social network analysis, bridges play a critical role in maintaining connectivity and facilitating the dissemination of information between communities. Despite increasing interest in bridge structures, a systematic classification of their roles across various network types remains unexplored. This study introduces a categorization of bridges into structural and functional types. Structural bridges maintain connectivity by preventing network fragmentation, whereas functional bridges facilitate the flow of information between communities. We conducted a comprehensive literature review and classified existing studies within this framework. The findings clarify the distinct roles of bridges and provide valuable insight for devising effective strategies for network design and analysis.

Indexed as

Graph partitioningInformation propagationNetwork connectivitySocial network analysis

Identifiers

PMID40989465
PMCPMC12453711

What OpenQuestion holds

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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.