Workflow Library Sources for the Co-Authorship Community Analysis Task
Below is the list of papers/workflows from the library that I drew on for the recommended workflow, organized by the analytical function they informed.
Network Snapshotting and State-Space Projection
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"Reducing Snapshots to Points: A Visual Analytics Approach to Dynamic Network Exploration" — van den Elzen, Holten, Blaas, and van Wijk (2016). IEEE TVCG. doi: 10.1109/TVCG.2015.2468078 — Source of the windowed-snapshot construction and the projection-based approach for visualizing network states as points/trajectories to detect stability, recurrence, and transitions.
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"MobilityGraphs: Visual Analysis of Mass Mobility Dynamics via Spatio-Temporal Graphs and Clustering" — von Landesberger, Brodkorb, Roskosch, Andrienko, Andrienko, and Kerren (2016). IEEE TVCG. doi: 10.1109/TVCG.2015.2468111 — Source of the "full-period supergraph as anchor, then per-window analysis" pattern used to keep temporal simplification consistent.
Community/Entity Trajectory Tracking Over Time
- "EventThread: Visual Summarization and Stage Analysis of Event Sequence Data" — Guo, Xu, Zhao, Gotz, Zha, and Cao (2018). IEEE TVCG. doi: 10.1109/TVCG.2017.2745320 — Source of the tensor-decomposition "latent thread" concept adapted for robust community-trajectory tracking (merges, splits, persistence) beyond simple set-overlap matching.
Detailed Community Structure Visualization
- "NodeTrix: A Hybrid Visualization of Social Networks" — Henry, Fekete, and McGuffin (2007). IEEE TVCG. doi: 10.1109/TVCG.2007.70582 — Directly informs the hybrid node-link/matrix inspection of individual communities' internal structure (core-periphery, bridging authors); notably validated on InfoVis co-authorship data itself.
Iterative, Provenance-Tracked Clustering
- "SOMFlow: Guided Exploratory Cluster Analysis with Self-Organizing Maps and Analytic Provenance" — Sacha, Kraus, Bernard, Behrisch, Schreck, Asano, and Keim (2018). IEEE TVCG. doi: 10.1109/TVCG.2017.2744805 — Source of the iterative "propose → inspect → adapt → partition → track provenance" loop applied to the overall interface design and refinement cycle.
Topic Modeling and Research-Foci Extraction
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"Human-Steered Topic Modelling" (UTOPIAN) — Choo, Lee, Reddy, and Park (2013). IEEE TVCG. doi: 10.1109/TVCG.2013.212 — Source of the interactive NMF-based topic modeling approach (merge/split/seed topics) used for extracting and refining research foci from titles/abstracts/keywords.
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"Progressive Abstraction Analysis of Multivariate Temporal Data" (Episodes and Topics) — Andrienko, Andrienko, and Shirato (2023). Computer Graphics Forum. doi: 10.1111/cgf.14926 — Source of the episode-to-topic abstraction pattern and matrix/small-multiples visualization for tracking topic evolution across entities (here: communities) and time.
Overlap and Cross-Group Comparison
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"Guided Visual Exploration of Genomic Stratifications in Cancer" (StratomeX) — Streit, Lex, Gratzl, Partl, Schmalstieg, Pfister, Park, and Gehlenborg (2014). Nature Methods. doi: 10.1038/nmeth.3088 — Source of the overlap-band/query-based comparison logic adapted for comparing community memberships across time periods.
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"RelEx: Visualization for Actively Changing Overlay Network Specifications" — Sedlmair, Frank, Munzner, and Butz (2012). IEEE TVCG. doi: 10.1109/TVCG.2012.255 — Source of the matrix-based relational-pattern visualization adapted for the community-overlap matrix.
Timeline/Scarf-Plot Idiom for Individual Trajectories
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"Temporal Event Sequence Simplification" — Monroe, Lan, Lee, Plaisant, and Shneiderman (2013). IEEE TVCG. doi: 10.1109/TVCG.2013.200 — Source of the aggregated event-sequence/scarf-plot idiom adapted for per-author community-membership timelines.
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"IVESA – Visual Analysis of Time-Stamped Event Sequences" — Bernard et al. (2025). IEEE TVCG. doi: 10.1109/TVCG.2024.3382760 — Additional source for the overview-then-detail sequence timeline pattern used for author-level membership tracks.
Model Diagnosis/Explainability (Iterative Interpretation Loop)
- "explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning" — Spinner et al. (2020). IEEE TVCG. doi: 10.1109/TVCG.2019.2934629 — Source of the general "understand → diagnose → refine" iterative loop used to structure the overall analyst interaction cycle in Phase 7.