TimeMatrix: Visual Representation for Temporal Pattern Detection in Dynamic Networks, VAST 2018 Mini-Challenge 3

Tommy Dang, Vung V. Pham

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This work proposes a visual analytic technique for visualizing temporal pattern detection in networks. The force-directed layout is a popular way to highlight structures of a network however it does not allow to present the dynamic features (how communities change over time). We target this problem by forcing nodes to display vertically and using the horizontal space for representing the timeline of entities. To show the connection between nodes, the edges are drawn vertically to avoid edge-crossings. This work also presents the result of applying the solution to the VAST 2018-Mini Challenge 3 dataset, which led to the Honorable Mention: Representation of Small-Scale Temporal Patterns for the challenge.

Original languageEnglish
Title of host publication2018 IEEE Conference on Visual Analytics Science and Technology, VAST 2018 - Proceedings
EditorsRemco Chang, Huamin Qu, Tobias Schreck
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages108-109
Number of pages2
ISBN (Electronic)9781538668610
DOIs
StatePublished - Oct 2018
Event13th IEEE Conference on Visual Analytics Science and Technology, VAST 2018 - Berlin, Germany
Duration: Oct 21 2018Oct 26 2018

Publication series

Name2018 IEEE Conference on Visual Analytics Science and Technology, VAST 2018 - Proceedings

Conference

Conference13th IEEE Conference on Visual Analytics Science and Technology, VAST 2018
Country/TerritoryGermany
CityBerlin
Period10/21/1810/26/18

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