Multiscale Visualization and Exploration of Large Bipartite Graphs

Nicola Pezzotti, Jean-Daniel Fekete, Thomas Hollt, Boudewijn Lelieveldt, Elmar Eisemann, Anna Vilanova

Research output: Contribution to journalConference articleScientificpeer-review

8 Citations (Scopus)


A bipartite graph is a powerful abstraction for modeling relationships between two collections. Visualizations of bipartite graphs allow users to understand the mutual relationships between the elements in the two collections, e.g., by identifying clusters of similarly connected elements. However, commonly-used visual representations do not scale for the analysis of large bipartite graphs containing tens of millions of vertices, often resorting to an a-priori clustering of the sets. To address this issue, we present the Who's-Active-On-What-Visualization (WAOW-Vis) that allows for multiscale exploration of a bipartite social-network without imposing an a-priori clustering. To this end, we propose to treat a bipartite graph as a high-dimensional space and we create the WAOW-Vis adapting the multiscale dimensionality-reduction technique HSNE. The application of HSNE for bipartite graph requires several modifications that form the contributions of this work. Given the nature of the problem, a set-based similarity is proposed. For efficient and scalable computations, we use compressed bitmaps to represent sets and we present a novel space partitioning tree to efficiently compute similarities; the Sets Intersection Tree. Finally, we validate WAOW-Vis on several datasets connecting Twitter-users and -streams in different domains: news, computer science and politics. We show how WAOW-Vis is particularly effective in identifying hierarchies of communities among social-media users.

Original languageEnglish
Pages (from-to)549-560
Number of pages12
JournalComputer Graphics Forum: the international journal of the Eurographics Association
Issue number3
Publication statusPublished - 2018
EventEurovis 2018: 20th EG/VGTC Conference on Visualization - Brno, Czech Republic
Duration: 4 Jun 20188 Jun 2018


Dive into the research topics of 'Multiscale Visualization and Exploration of Large Bipartite Graphs'. Together they form a unique fingerprint.

Cite this