Visually-Supported Graph Traversals for Exploratory Analysis

TitleVisually-Supported Graph Traversals for Exploratory Analysis
Publication TypeConference Paper
Year of Publication2016
AuthorsAmor-Amorós, A., P. Federico, and S. Miksch
Conference NameProceedings of the IEEE Visualization Conference (VIS) - Poster
Conference LocationBaltimore, USA
Abstract

Many real-world problems appearing in diverse application domains involve large multivariate interrelated data. For this reason, graph-based data models have gained popularity in recent years. Graph traversal is a powerful computational paradigm addressing the challenges of graph data management; yet, its complexity and specificity might hinder its use for interactive data exploration by non-expert users in absence of appropriate interfaces. We have designed and implemented a system for visually-supported graph traversal, featuring (1) a graphical block metaphor for traversal formulation and execution, and (2) data probes providing relevant visual feedback about the results. The proposed approach aims at enhancing the usability of graph querying and retrieval techniques, in order to assist users with gaining and interpreting insights during exploratory analysis.

Notes

Poster: IEEE Conference on Visual Analytics Science and Technology (VAST)

URLhttp://publik.tuwien.ac.at/files/PubDat_251157.pdf
Funding projects: 
Expand