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- You have access: full
- Open access
- ISSN: 2050-1242 (Print), 2050-1250 (Online)
- Editors: Martin Everett University of Manchester, UK, Matteo Magnani Uppsala University, Sweden, Daniel Tischer University of Sheffield, UK, Tomas Diviák University of Manchester, UK, Paolo Pin University of Siena, Italy, and Fernando Vega-Redondo Bocconi University, Italy
- Editorial board
Network Science (NWS) is an interdisciplinary journal aiming to consolidate and advance the emerging discipline of the same name. Recognizing an ever-increasing relevance across domains,the journal is focused on inspiring applications of network approaches, rigorous theory building, and innovative methods.
We therefore encourage submissions presenting original work or surveys on mathematical, computational, empirical, and substantive aspects of the collection, analysis, modeling, and visualization of network data in any field of scientific inquiry.
As of 2024, NWS publishes all content on a fully open-access basis.
We therefore encourage submissions presenting original work or surveys on mathematical, computational, empirical, and substantive aspects of the collection, analysis, modeling, and visualization of network data in any field of scientific inquiry.
As of 2024, NWS publishes all content on a fully open-access basis.
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