Network Science

Cambridge University Press

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About the journal

Network Science is a journal published by Cambridge University Press in United States. It is listed in PUBMED according to the sources read. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.

Basic facts

Publisher
Cambridge University Press
ISSN
2050-1242 · 2050-1250
Country
United States
Access
Not open access / not declared

Index listings

  • PUBMED · 2013-08-01
Indexing
PUBMED
APC
—
Declared review time (DOAJ)
—
Activity (OpenAlex)
Active — latest works 2026
PublishLens list status
Shown after sign-in
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Methodology signals (dated facts from their sources)

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Journal profile

Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.

Works in OpenAlex

468

Last recorded publication year

2026

Reported by OpenAlex in 1 of 3 sources (CC0 flags, not verified indexing)DOAJSciELOOpenAlex Core

h-index

35

i10-index

145

From OpenAlex open data (CC0).

Editorial & policy5
Observed digital preservation (Keepers registry)— snapshot 2026-10-05
CLOCKSSPortico
Norwegian register (HK-dir)— 2026
Level 1 — approved scholarly channel
Open references deposited at Crossref
99%
ORCID iDs in current deposits
99%
Enrolled in Crossref Similarity Check
✓
Deposits licence metadata at Crossref
✓
Identity & continuity3
Alternate titles
NWS
Source type
journal
NLM unique ID (PubMed)
101618432
Classification(no data)

No data available to the platform for this group

No platform data for: Classification — absence is not a judgment about the journal.

Subject areas

  • Complex Network Analysis Techniques
  • Complex Network Analysis Techniques
  • Opinion Dynamics and Social Influence
  • Opinion Dynamics and Social Influence
  • Diverse Scientific and Economic Studies
  • Diverse Scientific and Economic Studies
  • Legal Cases and Commentary
  • Legal Cases and Commentary
Show all subjects (50)
  • Mental Health Research Topics
  • Mental Health Research Topics
  • Social Capital and Networks
  • Social Capital and Networks
  • Bioinformatics and Genomic Networks
  • Social Media and Politics
  • Social Media and Politics
  • Bioinformatics and Genomic Networks
  • Graph theory and applications
  • Graph theory and applications
  • Advanced Graph Neural Networks
  • Game Theory and Applications
  • Game Theory and Applications
  • Advanced Graph Neural Networks
  • Evolutionary Game Theory and Cooperation
  • Evolutionary Game Theory and Cooperation
  • COVID-19 epidemiological studies
  • COVID-19 epidemiological studies
  • Health disparities and outcomes
  • Health disparities and outcomes
  • Functional Brain Connectivity Studies
  • Functional Brain Connectivity Studies
  • Electoral Systems and Political Participation
  • Electoral Systems and Political Participation
  • Bayesian Methods and Mixture Models
  • Bayesian Modeling and Causal Inference
  • Bayesian Methods and Mixture Models
  • Bayesian Modeling and Causal Inference
  • Community Health and Development
  • Community Health and Development
  • Advanced Clustering Algorithms Research
  • Topological and Geometric Data Analysis
  • Urban, Neighborhood, and Segregation Studies
  • Human Mobility and Location-Based Analysis
  • Advanced Clustering Algorithms Research
  • Topological and Geometric Data Analysis
  • Human Mobility and Location-Based Analysis
  • Urban, Neighborhood, and Segregation Studies
  • Advanced Graph Theory Research
  • Advanced Graph Theory Research
  • Neural dynamics and brain function
  • Neural dynamics and brain function

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The journal's record in other sources:Web of Science MJLDOAJ

Everything shown here is produced automatically from named sources (DOAJ, OpenAlex, Crossref, PubMed, the Norwegian register) as of its capture date, with no human editing. Facts appear as recorded at the source; derived scores (PCI, PTD, PublishLens score) follow a published methodology. Not a judgement on the journal, not an official accreditation, not advice.

Wrong items are corrected automatically by re-reading the source (24 h for daily sources, 7 days for weekly ones) with a dated change log, and each item links to its source record. PublishLens-derived assessments are contested through the appeals mechanism (15 working days). Appeals · Indicator guide

Norwegian register data: Kanalregisteret (HK-dir, Norway) — CC BY 4.0 / NLOD — adapted: level extracted per year · OASPA member list — CC BY

Last automated source read: