demonstration

3D DynNetVis: A 3D Visualization Technique for Dynamic Networks

Authors:

H. Ulrich HoppeAuthors Info & Claims

ASONAM '15: Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015

Pages 737 - 740

https://doi.org/10.1145/2808797.2808798

Published: 25 August 2015 Publication History

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Abstract

In this demo paper we present a new visualization technique for dynamic networks. It displays the time slices of the dynamic network using two dimensional graph layouting algorithms and stacks these in the third dimension to show the development over time. The visualization ensures that the same node always has the same position in each time slice so that it is easy to follow its development. It also allows filtering data and influencing node appearance based on properties. Additionally we offer a two dimensional comparison view for two time slices which highlights changes in graph structure and (if available) in measures of nodes. The presented visualization technique is implemented using web technology and is available in a web-based analytics workbench. We demonstrate the benefits of these techniques by an analysis of a data set from a learning community.

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Linhares CPonciano JPaiva JRocha LTravencolo B(2020)DyNetVis - An interactive software to visualize structure and epidemics on temporal networks2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)10.1109/ASONAM49781.2020.9381304(933-936)Online publication date: 7-Dec-2020
https://doi.org/10.1109/ASONAM49781.2020.9381304

3D DynNetVis: A 3D Visualization Technique for Dynamic Networks
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms

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ASONAM '15: Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015

August 2015

835 pages

ISBN:9781450338547

DOI:10.1145/2808797

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

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Published: 25 August 2015

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ASONAM '15: Advances in Social Networks Analysis and Mining 2015

August 25 - 28, 2015

Paris, France

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Linhares CPonciano JPaiva JRocha LTravencolo B(2020)DyNetVis - An interactive software to visualize structure and epidemics on temporal networks2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)10.1109/ASONAM49781.2020.9381304(933-936)Online publication date: 7-Dec-2020
https://doi.org/10.1109/ASONAM49781.2020.9381304

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