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Research at St Andrews

Dynamic Network Plaid: a tool for the analysis of dynamic networks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Author(s)

Alexandra Lee, Daniel Archambault, Miguel Nacenta

School/Research organisations

Abstract

Network data that changes over time can be very useful for studying a wide range of important phenomena, from how social network connections change to epidemiology. However, it is challenging to analyze, especially if it has many actors, connections or if the covered timespan is large with rapidly changing links (e.g., months of changes with changes at second resolution). In these analyses one would often like to compare many periods of time to others, without having to look at the full timeline. To support this kind of analysis we designed and implemented a technique and system to visualize this dynamic data. The Dynamic Network Plaid (DNP) is designed for large displays and based on user-generated interactive timeslicing on the dynamic graph attributes and on linked provenance-preserving representations. We present the technique, interface and the design/evaluation with a group of public health researchers investigating non-suicidal self-harm picture sharing in Instagram.
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Details

Original languageEnglish
Title of host publicationProceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI'19)
Place of PublicationNew York
PublisherACM
Number of pages12
ISBN (Electronic)9781450359702
DOIs
Publication statusPublished - 18 Apr 2019
EventACM Conference on Human Factors in Computing Systems 2019 - SEC, Glasgow, United Kingdom
Duration: 4 May 20199 May 2019
http://chi2019.acm.org/

Conference

ConferenceACM Conference on Human Factors in Computing Systems 2019
Abbreviated titleCHI 2019
CountryUnited Kingdom
CityGlasgow
Period4/05/199/05/19
Internet address

    Research areas

  • Information visualization, Dynamic network analysis, Large display visualization

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