Toggle Main Menu Toggle Search

Open Access padlockePrints

Event-based Dynamic Graph Drawing without the Agonizing Pain

Lookup NU author(s): Dr Daniel ArchambaultORCiD



This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


© 2022 The Authors. Computer Graphics Forum published by Eurographics - The European Association for Computer Graphics and John Wiley & Sons Ltd. Temporal networks can naturally model real-world complex phenomena such as contact networks, information dissemination and physical proximity. However, nodes and edges bear real-time coordinates, making it difficult to organize them into discrete timeslices, without a loss of temporal information due to projection. Event-based dynamic graph drawing rejects the notion of a timeslice and allows each node and edge to retain its own real-valued time coordinate. While existing work has demonstrated clear advantages for this approach, they come at a running time cost. We investigate the problem of accelerating event-based layout to make it more competitive with existing layout techniques. In this paper, we describe the design, implementation and experimental evaluation of MultiDynNoS, the first multi-level event-based graph layout algorithm. We consider three operators for coarsening and placement, inspired by Walshaw, GRIP and FM3, which we couple with an event-based graph drawing algorithm. We also propose two extensions to the core algorithm: AutoTau and Bend Transfer. We perform two experiments: first, we compare MultiDynNoS variants to existing state-of-the-art dynamic graph layout approaches; second, we investigate the impact of each of the proposed algorithm extensions. MultiDynNoS proves to be competitive with existing approaches, and the proposed extensions achieve their design goals and contribute in opening new research directions.

Publication metadata

Author(s): Arleo A, Miksch S, Archambault D

Publication type: Article

Publication status: Published

Journal: Computer Graphics Forum

Year: 2022

Volume: 41

Issue: 6

Pages: 226-244

Print publication date: 01/09/2022

Online publication date: 27/07/2022

Acceptance date: 02/04/2018

Date deposited: 15/09/2023

ISSN (print): 0167-7055

ISSN (electronic): 1467-8659

Publisher: John Wiley and Sons Inc.


DOI: 10.1111/cgf.14615


Altmetrics provided by Altmetric


Funder referenceFunder name
TU Wien Bibliothek