Visual Querying and Exploring of Large Multilayer Graphs
Overview & Synopsis
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. We present a novel visual platform to query, explore and support the analysis of large multilayer graphs. Our approach provides coordinated views to navigate and explore the large set of retrieved results at different level of granularities. In addition, the proposed system supports the refinement of the query by visual suggestions to guide the user through the exploration process. A demo video is available at https://youtu.be/zray-iR8Hz0.
Indexed from repository: HAL Open Science
(
hal.science)
Keyboard Shortcuts:
← / → for pages • + / - for zoom • 0 to fit width
Powered by Mozilla PDF.js v3.11
Document Information
| Document Title | Visual Querying and Exploring of Large Multilayer Graphs |
|---|---|
| Author / Organization | Erick Cuenca Pauta, Arnaud Sallaberry, Dino Ienco, Pascal Poncelet |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2018 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-193050 |
| Original Source Link | Visit Source Page on hal.science » |