Peeking at Visualization Research on Information Diffusion
dc.contributor.author | Usul, Mert | en_US |
dc.contributor.author | Arleo, Alessio | en_US |
dc.contributor.editor | Kucher, Kostiantyn | en_US |
dc.contributor.editor | Diehl, Alexandra | en_US |
dc.contributor.editor | Gillmann, Christina | en_US |
dc.date.accessioned | 2024-05-21T08:45:41Z | |
dc.date.available | 2024-05-21T08:45:41Z | |
dc.date.issued | 2024 | |
dc.description.abstract | Diffusion 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.sectionheaders | Posters | |
dc.description.seriesinformation | EuroVis 2024 - Posters | |
dc.identifier.doi | 10.2312/evp.20241089 | |
dc.identifier.isbn | 978-3-03868-258-5 | |
dc.identifier.pages | 3 pages | |
dc.identifier.uri | https://doi.org/10.2312/evp.20241089 | |
dc.identifier.uri | https://diglib.eg.org/handle/10.2312/evp20241089 | |
dc.publisher | The Eurographics Association | en_US |
dc.rights | Attribution 4.0 International License | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | CCS Concepts: Human-centered computing → Visualization; Visual analytics | |
dc.subject | Human centered computing → Visualization | |
dc.subject | Visual analytics | |
dc.title | Peeking at Visualization Research on Information Diffusion | en_US |