ProtEGOnist: Visual Analysis of Interactions in Small World Networks Using Ego-graphs

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dc.contributor.authorBrich, Nicolasen_US
dc.contributor.authorHarbig, Theresa A.en_US
dc.contributor.authorWitte Paz, Mathiasen_US
dc.contributor.authorNieselt, Kayen_US
dc.contributor.authorKrone, Michaelen_US
dc.contributor.editorAigner, Wolfgangen_US
dc.contributor.editorArchambault, Danielen_US
dc.contributor.editorBujack, Roxanaen_US
dc.date.accessioned2024-05-21T08:17:25Z
dc.date.available2024-05-21T08:17:25Z
dc.date.issued2024
dc.description.abstractVisualizing small-world networks such as protein-protein interaction networks or social networks often leads to visual clutter and limited interpretability. To overcome these problems, we present ProtEGOnist, a visualization approach designed to explore small-world networks. ProtEGOnist visualizes networks using ego-graphs that represent local neighborhoods. Egographs are visualized in an aggregated state as a glyph where the size encodes the size of the neighborhood and in a detailed version where the original network nodes can be explored. The ego-graphs are arranged in an ego-graph network, where edges encode similarity using the Jaccard index. Our design aims to reduce visual complexity and clutter while enabling detailed exploration and facilitating the discovery of meaningful patterns. To achieve this, our approach offers a network overview using ego-graphs, a radar chart for a one-to-many ego-graph comparison and meta-data integration, and detailed ego-graph subnetworks for interactive exploration. We demonstrate the applicability of our approach on a co-author network and two different protein-protein interaction networks. A web-based prototype of ProtEGOnist can be accessed online at https://protegonist-tuevis.cs.uni-tuebingen.de/.en_US
dc.description.number3
dc.description.sectionheadersGraph Visualization
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume43
dc.identifier.doi10.1111/cgf.15078
dc.identifier.issn1467-8659
dc.identifier.pages13 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.15078
dc.identifier.urihttps://diglib.eg.org/handle/10.1111/cgf15078
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Applied computing → Biological networks; Human-centered computing → Graph drawings; Information visualization
dc.subjectApplied computing → Biological networks
dc.subjectHuman
dc.subjectcentered computing → Graph drawings
dc.subjectInformation visualization
dc.titleProtEGOnist: Visual Analysis of Interactions in Small World Networks Using Ego-graphsen_US
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