Paper Info
Title
VERTIGo: A Visual Platform for Querying and Exploring Large Multilayer Networks
Abstract
Many real world data can be modeled by a graph with a set of nodes interconnected to each other by multiple relationships. Such a rich graph is called multilayer graph or network. Providing useful visualization tools to support the query process for such graphs is challenging. Although many approaches have addressed the visual query construction, few efforts have been done to provide a contextualized exploration of query results and suggestion strategies to refine the original query. This is due to several issues such as i) the size of the graphs ii) the large number of retrieved results and iii) the way they can be organized to facilitate their exploration. In this article, we present <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">VERTIGo</i> , a novel visual platform to query, explore and support the analysis of large multilayer graphs. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">VERTIGo</i> provides coordinated views to navigate and explore the large set of retrieved results at different granularity levels. In addition, the proposed system supports the refinement of the query by visual suggestions to guide the user through the exploration process. Two examples and a user study demonstrate how <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">VERTIGo</i> can be used to perform visual analysis (query, exploration, and suggestion) on real world multilayer networks.
Year
DOI
Venue
2022
10.1109/TVCG.2021.3067820
IEEE Transactions on Visualization and Computer Graphics
Keywords
DocType
Volume
Visual querying system,visual pattern suggestion,multilayer networks
Journal
28
Issue
ISSN
Citations 
3
1077-2626
0
PageRank 
References 
Authors
0.34
18
4
Name
Order
Citations
PageRank
Erick Cuenca1101.56
Arnaud Sallaberry214714.86
Dino Ienco329542.01
Pascal Poncelet4768126.47