Cited by 930Complex Network Analysis TechniquesGraph theory and applicationsComplex Systems and Time Series Analysis

Mathematical Formulation of Multilayer Networks

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De Domenico, Manlio, Solé-Ribalta, Albert, Cozzo, Emanuele, Kivelä, Mikko, Moreno, Yamir, Porter, Mason A., Gómez, Sergio, Arenas, Alex·2013·Physical Review X

Abstract

A ``monoplex'' network, like a Facebook-based social network, can be represented by a set of nodes (people) linked by their Facebook connections (interactions). But real-world networks can be ``multiplex,'' with multiple types of interactions and where one type of interaction can influence another. A unifying framework for describing ``multiplex'' networks has been missing so far. Deftly employing the concept of tensors, theorists now present such a framework that will power studies of ``multiplex'' networks across many scientific disciplines.

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Cited by

Sorted by citations

Authors
De Domenico, M., Solé-Ribalta, A., Cozzo, E., Kivelä, M., Moreno, Y., Porter, M. A., Gómez, S., & Arenas, A.
Affiliations
  • Universitat Rovira i Virgili (ES)
  • Universidad de Zaragoza (ES)
  • University of Oxford (GB)
  • Institute for Scientific Interchange (IT)
Venue
Physical Review X
Published
2013-12-04
Volume
3
Issue
4
ISSN
2160-3308 (ISSN-L)
OpenAlex
W1647431324
Cited by
930
References
5
Citations by year
2026: 41 · 2025: 65 · 2024: 67 · 2023: 73 · 2022: 67 · 2021: 90 · 2020: 77 · 2019: 81 · 2018: 113 · 2017: 83 · 2016: 86 · 2015: 49 · 2014: 37
FWCI
40.79
Type
journal article
Language
en
Open access
Locations
  • Physical Review X (publishedVersion, cc-by)
  • arXiv (Cornell University) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Padua Research Archive (University of Padova) (submittedVersion, cc-by)
  • arXiv (Cornell University)
Funders
  • James S. McDonnell Foundation
  • European Commission (317614)
  • Generalitat de Catalunya (2009-SGR-838)
  • Institució Catalana de Recerca i Estudis Avançats
  • Engineering and Physical Sciences Research Council (EP/J001759/1, 317614)
Topics
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
  • Physical Sciences › Mathematics › Geometry and Topology › Graph theory and applications
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Complex Systems and Time Series Analysis
Keywords
multiplex networks, multilayer networks, tensor networks, network representation, social networks, interaction types, mathematical framework

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