Dynamic Network Plaid : a tool for the analysis of dynamic networks
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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.
Lee , A , Archambault , D & Nacenta , M 2019 , Dynamic Network Plaid : a tool for the analysis of dynamic networks . in Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI'19) . , 130 , ACM , New York , ACM Conference on Human Factors in Computing Systems 2019 , Glasgow , United Kingdom , 4/05/19 . https://doi.org/10.1145/3290605.3300360conference
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI'19)
© 2019, the Author(s). This work has been made available online in accordance with the publisher's policies. This is the author created accepted version manuscript following peer review and as such may differ slightly from the final published version. The final published version of this work is available at http://doi.org/10.1145/3290605.3300360
DescriptionFunding: Partially supported by a Microsoft Surface Hub award.
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