Australian Institution Co-authorship Collaboration Patterns DataArena exhibition March 4th
收藏DataCite Commons2025-03-11 更新2025-05-07 收录
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https://figshare.com/articles/dataset/Australian_Institution_Co-authorship_Collaboration_Patterns_DataArena_exhibition_March_4th/28559957
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<b>Australian Institution Co-authorship Collaboration Patterns</b>On March 4th as part of the Digital Science Showcase, Australian collaboration co-authorship patterns were visualised within the UTS DataArena https://dataarena.net/.<b>About the Researchers</b>The networks presented represent a connected graph of co-authored researchers affiliated to Australian institutions from 2018-2023. Each researcher has been colour coded by the 2-digit FoR 2020 code they are most associated with. Each researcher is depicted by a sphere, and given a size based on the number of publications produced.Graphs were visualised in 3d in Blender. A single co-authorship graph for Australia was created, and then replicated 5 times in a circle, with each instance filtered by institution using geonodes.The presentation in the DataArena is based on the uploaded animation.<b>About the Clusters</b>To make the network easier to read, collaborations between clusters are not displayed, although they do play a significant role in the layout of the network. Clusters are colour coded by the most dominant discipline of the researchers within them, and are given a ‘height' based on the discipline that they proportionally belong to. Biomedical and Clinical Sciences clusters sit at the base of the network, with Language, Communication and Culture sitting at the top.<b>About the Classifications</b>The 2020 Field of Research codes used in this analysis have been assigned to publications using the approach detailed in “Recategorising research: Mapping from FoR 2008 to FoR 2020 in Dimensions” (https://doi.org/10.1162/qss_a_00244.) Note: some research areas are not well represented in the network due to single author publications.<b>Methodology:</b>Graph layout: Batchlayout [1]Clustering: Leiden Algorithm [2]3d Layout: Blender [3]Data: Dimensions [4]Music for Animation: Scientific Cathedral (Instrumental Mix) Roaming Mosaics[5]Music for DataArena: Michele Pasin Dreamy pianos - Study No 1 in C Minor (2023-12) [6]
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figshare
创建时间:
2025-03-09



