Network Science
Published by Cambridge University Press
ISSN : 2050-1242 eISSN : 2050-1250
Abbreviation : Netw. Sci.
Aims & Scope
Network Science is an important journal for an important discipline - one using the network paradigm, focusing on actors and relational linkages, to inform research, methodology, and applications from many fields across the natural, social, engineering and informational sciences.
Given growing understanding of the interconnectedness and globalization of the world, network methods are an increasingly recognized way to research aspects of modern society along with the individuals, organizations, and other actors within it.
The discipline is ready for a comprehensive journal, open to papers from all relevant areas.
Network Science is a defining work, shaping this discipline.
The journal welcomes contributions from researchers in all areas working on network theory, methods, and data.
View Aims & ScopeMetrics & Ranking
Impact Factor
| Year | Value |
|---|---|
| 2025 | 1.5 |
| 2024 | 1.40 |
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 0.533 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q2 |
h-index
| Year | Value |
|---|---|
| 2024 | 27 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 10905 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 136 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Psychology and Social Sciences, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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Clustering attributed graphs: Models, measures and methods
Citation: 186
Authors: CECILE, JUAN DAVID, MATTEO, BARBORA
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Data on face-to-face contacts in an office building suggest a low-cost vaccination strategy based on community linkers
Citation: 184
Authors: MATHIEU, CHRISTIAN L., JULIE, ANDRÉ, ISABELLE, ALAIN
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NetworKit: A tool suite for large-scale complex network analysis
Citation: 179
Authors: CHRISTIAN L., ALEKSEJS, HENNING
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Multi-scale community organization of the human structural connectome and its relationship with resting-state functional connectivity
Citation: 113
Authors: RICHARD F., ALESSANDRA, ANDREA, JOAQUÃN, JEAN-PHILIPPE, PATRIC, OLAF
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Engineering social contagions: Optimal network seeding in the presence of homophily
Citation: 109
Authors: SINAN, LEV, ARUN
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Uncovering the structure and temporal dynamics of information propagation
Citation: 104
Authors: MANUEL GOMEZ, JURE, DAVID, BERNHARD
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Diffusion and contagion in networks with heterogeneous agents and homophily
Citation: 99
Authors: MATTHEW O., DUNIA
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Gravity's Rainbow: A dynamic latent space model for the world trade network
Citation: 90
Authors: MICHAEL D., JOHN S., ARTURAS