Exploring Relationships between Events in Context

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dc.contributor.authorAndrienko, Nataliaen_US
dc.contributor.authorAndrienko, Gennadyen_US
dc.contributor.editorEl-Assady, Mennatallahen_US
dc.contributor.editorSchulz, Hans-Jörgen_US
dc.date.accessioned2024-05-21T08:30:11Z
dc.date.available2024-05-21T08:30:11Z
dc.date.issued2024
dc.description.abstractWe propose an approach to exploring interrelationships between two or more sequences of events when events occurring in one sequence both affect and are affected by events occurring in another sequences. We present the approach by example of exploring the dynamic relationships between COVID pandemic events and changes in population mobility behaviours across various countries. The key idea is to generate data capturing the temporal context of each event, i.e., what types of events occurred in different sequences within a specified time buffer around this event. An application of 2D space embedding to the context data reveals groups of events occurring in similar contexts. We can investigate the types of events each group consists of and see when and where these events and these contexts took place. By interactive or algorithmic clustering of the context data, we categorise event contexts based on their similarities, which allows us to compute, visualise, explore, and compare summary statistics of the context clusters, as well as exploring their distribution over time and other data dimensions.en_US
dc.description.sectionheadersVisual Analytics Methods and Approaches
dc.description.seriesinformationEuroVis Workshop on Visual Analytics (EuroVA)
dc.identifier.doi10.2312/eurova.20241114
dc.identifier.isbn978-3-03868-253-0
dc.identifier.pages6 pages
dc.identifier.urihttps://doi.org/10.2312/eurova.20241114
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/eurova20241114
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing → Visual Analytics
dc.subjectHuman centered computing → Visual Analytics
dc.titleExploring Relationships between Events in Contexten_US
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