MuxViz: A tool for multilayer analysis and visualization of networks

278Citations
Citations of this article
464Readers
Mendeley users who have this article in their library.

This article is free to access.

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.

References Powered by Scopus

Networks: An Introduction

9269Citations
N/AReaders
Get full text

Complex networks: Structure and dynamics

9104Citations
N/AReaders
Get full text

Complex brain networks: Graph theoretical analysis of structural and functional systems

8887Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Network science of biological systems at different scales: A review

340Citations
N/AReaders
Get full text

Measuring and modeling correlations in multiplex networks

196Citations
N/AReaders
Get full text

Percolation in real interdependent networks

191Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

De Domenico, M., Porter, M. A., & Arenas, A. (2015). MuxViz: A tool for multilayer analysis and visualization of networks. Journal of Complex Networks, 3(2), 159–176. https://doi.org/10.1093/comnet/cnu038

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 211

62%

Researcher 73

21%

Professor / Associate Prof. 50

15%

Lecturer / Post doc 9

3%

Readers' Discipline

Tooltip

Computer Science 94

42%

Agricultural and Biological Sciences 66

30%

Engineering 35

16%

Social Sciences 28

13%

Article Metrics

Tooltip
Mentions
Blog Mentions: 1

Save time finding and organizing research with Mendeley

Sign up for free