Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 379

The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.

MuxViz: a tool for multilayer analysis and visualization of networks

Open access
De Domenico, M., Porter, M. A., Arenas, A.·2015·Journal of Complex Networks

Abstract

Multilayer relationships among entities and information about entities must be accompanied by the means to analyse, visualize and obtain insights from such data.We present open-source software (muxViz) that contains a collection of algorithms for the analysis of multilayer networks, which are an important way to represent a large variety of complex systems throughout science and engineering.We demonstrate the ability of muxViz to analyse and interactively visualize multilayer data using empirical genetic, neuronal and transportation networks.Our software is available at https://github.com/manlius/muxViz.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/comnet/cnu038

Cites

67 of 67 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 67 references

Cited by

See all 379

Metadata

Authors
De Domenico, M., Porter, M. A., & Arenas, A.
Venue
Journal of Complex Networks
Published
2014-10-12
Volume
3
Issue
2
Pages
159-176
ISSN
  • 2051-1310 (ISSN-L)
  • 2051-1329
OpenAlex
W2096822173
Cited by
379
References
67
FWCI
14.50
Type
journal article
Language
en
Open access
hybrid

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: MuxViz: a tool for multilayer analysis and visualization of networks. https://app.cochat.ai/papers/10.1093/comnet/cnu038
The paper
De Domenico, M., Porter, M. A., & Arenas, A. (2015). MuxViz: a tool for multilayer analysis and visualization of networks. Journal of Complex Networks. https://doi.org/10.1093/comnet/cnu038

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.