Evidence map›Paper›PMID 41801647›Full record

ArticleCurrent protocols2026

How to Apply Social Network Analysis to Evaluate Professional Development Programs in Biomedical Research.

Diane B Smith, Carolyn J Hovde, Julia Thom Oxford

Abstract read
In one paragraph

Article in Current protocols, 2026. 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

3 authors.

Diane B SmithBiomolecular Research Institute, Boise State University, Boise, Idaho.ORCID https://orcid.org/0000-0002-8383-7097
Carolyn J HovdeDepartment of Animal, Veterinary, and Food Sciences, University of Idaho, Moscow, Idaho.ORCID https://orcid.org/0000-0002-7383-3033
Julia Thom OxfordBiomolecular Research Institute, Boise State University, Boise, Idaho.ORCID https://orcid.org/0000-0002-4850-3569

Funding

Women's health: interplay of maternal diet and key demographics on neurological health in the rural frontier and remote WestP20GM103408 · NIGMS · UNIVERSITY OF IDAHO · PI Carolyn Hovde Bohach · 2012 to 2026
$59.8M
Optimizing Deep Brain Stimulation for Parkinson's Disease.P20GM148321 · NIGMS · BOISE STATE UNIVERSITY · PI Paul Henry Davis · 2023 to 2026
$10.2M
Center of Biomedical Research Excellence in Matrix Biology Phase 3P30GM154497 · NIGMS · BOISE STATE UNIVERSITY · PI JULIA THOM OXFORD · 2024 to 2026
$4.2M
NIGMS NIH HHS P20 GM103408NIGMS NIH HHS P20 GM148321NIGMS NIH HHS P30 GM154497NIH HHS P20GM103408NIH HHS P20GM148321NIH HHS P30GM154497
6 · The paper itself

Abstract

Effective evaluation and assessment of research-focused programs, including centers, core facilities, and institutes, is crucial but inherently challenging. Faculty members are often departmentalized, yet their research necessitates campus-wide access to infrastructure, specialized equipment, students, and interdisciplinary collaborators, thus creating assessment and reporting challenges. Additionally, it can be challenging to demonstrate return on investment for new and emerging programs as well as those at institutions without an extensive history of research. Social network analysis (SNA) tools may be used to address these challenges. SNA provides a data-driven understanding of collaboration dynamics in programs designed to build research community and provides a method to quantify program impact and demonstrate the effectiveness of capacity-building investments in fostering collaborative research and scientific output. Additionally, SNA is useful in pinpointing influential researchers who act as central nodes or bridges, and may guide future efforts in mentorship, grant development, and recruitment, by highlighting areas of productive collaboration, or alternatively, potential fragmentation in the network. The results may be used to guide future resource allocation, inform new initiatives within the program, or alternatively, target interventions if needed to strengthen a specific research area. Initial analysis can help a program assess collaborative health of a research community by providing a baseline for tracking changes in network structure and collaboration patterns over time, setting the stage for longitudinal evaluation. This article outlines the steps required to carry out SNA of bibliometric data from a biomedical research community. The article describes the acquisition of data through PubMed, application of VOSviewer and Gephi, data visualization, statistical analysis, and generation of figures suitable for publication, including examples of results designed for specific audiences and stakeholders. The article also covers creating an author thesaurus for disambiguation of authors who publish under multiple names. © 2026 The Author(s). Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Obtaining data Basic Protocol 2: Initial bibliometric data processing and co-authorship network construction using VOSviewer Basic Protocol 3: Interfacing VOSviewer data with Gephi Basic Protocol 4: Advanced network visualization and statistical analysis in Gephi Basic Protocol 5: Creating impactful figures Basic Protocol 6: Identifying key individuals or groups of individuals within the network Support Protocol 1: VOSviewer author thesaurus file generation Support Protocol 2: Quick-start protocol: SNA for program evaluation.

Indexed as

Biomedical ResearchProgram EvaluationResearch PersonnelSocial Network AnalysisAcademiaHumansbibliometricsbiomedical research communitiesco‐authorship networkNIH IDeA programsresearch capacity building programsresearch program evaluationsocial network analysis

Identifiers

PMID41801647
PMCPMC12970576

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.