Peeking at Visualization Research on Information Diffusion

dc.contributor.authorUsul, Merten_US
dc.contributor.authorArleo, Alessioen_US
dc.contributor.editorKucher, Kostiantynen_US
dc.contributor.editorDiehl, Alexandraen_US
dc.contributor.editorGillmann, Christinaen_US
dc.date.accessioned2024-05-21T08:45:41Z
dc.date.available2024-05-21T08:45:41Z
dc.date.issued2024
dc.description.abstractDiffusion Processes are a widely researched topic of interest to different scientific domains. One of the most popular research directions is Information Diffusion, pertaining how information spreads over a tightly connected network. From the modeling perspective, many different approaches are known in the literature; however, in the visualization community, this still represents an under-investigated problem. In this work, we present a succinct overview of the current state-of-the-art in Visual Analytics techniques employed in representing and understanding diffusion processes happening over networks. We consider different application domains and introduce a taxonomy that categorizes and provides structure to our selection of papers, fostering further research in the field of Visual Analytics of Information Diffusion processes.en_US
dc.description.sectionheadersPosters
dc.description.seriesinformationEuroVis 2024 - Posters
dc.identifier.doi10.2312/evp.20241089
dc.identifier.isbn978-3-03868-258-5
dc.identifier.pages3 pages
dc.identifier.urihttps://doi.org/10.2312/evp.20241089
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/evp20241089
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 → Visualization; Visual analytics
dc.subjectHuman centered computing → Visualization
dc.subjectVisual analytics
dc.titlePeeking at Visualization Research on Information Diffusionen_US
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