Abstract

Complex networks are used as means for representing multimodal, real-life systems. With increasing amounts of data that lead to large multilayer networks consisting of different node and edge types, that can also be subject to temporal change, there is an increasing need for versatile visualization and analysis software. This work presents a lightweight Python library, Py3plex, which focuses on the visualization and analysis of multilayer networks. The library implements a set of simple graphical primitives supporting intra- as well as inter-layer visualization. It also supports many common operations on multilayer networks, such as aggregation, slicing, indexing, traversal, and more. The paper also focuses on how node embeddings can be used to speed up contemporary (multilayer) layout computation. The library’s functionality is showcased on both real and synthetic networks.

Details

Title
Py3plex toolkit for visualization and analysis of multilayer networks
Author
Škrlj, Blaž 1   VIAFID ORCID Logo  ; Kralj, Jan 2 ; Lavrač, Nada 1 

1  Jožef Stefan International Postgraduate School, 1000 Ljubljana, Slovenia; Jožef Stefan Institute, 1000 Ljubljana, Slovenia 
2  Jožef Stefan Institute, 1000 Ljubljana, Slovenia 
Pages
1-24
Publication year
2019
Publication date
Oct 2019
Publisher
Springer Nature B.V.
e-ISSN
23648228
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1007/s41109-019-0203-7
ProQuest document ID
2310474452
Copyright
Applied Network Science is a copyright of Springer, (2019). All Rights Reserved., © 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.