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  • 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.
Editors

Elisa Bellotti, University of Manchester, UK
Tomas Diviák, University of Manchester, UK
Laura Koehly, National Human Genome Research Institute, USA
Matteo Magnani, Uppsala University, Sweden
Filippo Menczer, Indiana University, USA
Nicola Perra, University of Greenwich, UK
Paolo Pin,University of Siena, Italy
Christoph Stadtfeld, ETH Zürich, Switzerland
Daniel Tischer, University of Sheffield, UK
Fernando Vega-Redondo, Bocconi University, Italy
Alessandro Vespignani, Northeastern University, USA
András Vörös, University of Birmingham, UK
Stanley Wasserman, Indiana University, USA

Managing Editor

Vee Everett London, UK

Communications Editor

Alejandro Espinosa-Rada, Pontificia Universidad Católica de Chile


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