Papers Cited as Sources of Relevant Approaches
The following library workflows informed specific structural elements of my recommended workflow, as noted in the design rationale:
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van Wijk & van Selow (1999) — Cluster and calendar based visualization of time series data (cluster-calendar workflow) — model for the calibration loop with visual assessment of clustering resolution parameters.
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von Landesberger, Brodkorb, Roskosch, Andrienko, Andrienko & Kerren (2016) — MobilityGraphs: Visual analysis of mass mobility dynamics via spatio-temporal graphs and clustering — model for the parameter-refinement loop pattern (quality heatmap → assess → adjust) applied to the overlap-threshold calibration.
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Guo, Xu, Zhao, Gotz, Zha & Cao (2018) — EventThread: Visual Summarization and Stage Analysis of Event Sequence Data — model for tensor-decomposition-into-threads-with-branching/merging, adapted to community-lineage tracking across time windows (continuation/merge/split/birth/dissolution classification).
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Streit, Lex, Gratzl, Partl, Schmalstieg, Pfister, Park & Gehlenborg (2014) — StratomeX: Guided Visual Exploration of Genomic Stratifications in Cancer — model for the column-band arrangement visualising overlapping set memberships across adjacent groupings, adapted from patient stratifications to community memberships across time windows.
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Henry, Fekete & McGuffin (2007) — NodeTrix: A Hybrid Visualization of Social Networks — model for the hybrid node-link/matrix representation used to inspect dense community instances and identify actor roles (leaders, bridges).
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Kwon, Anand, Severson, Ghosh, Sun, Frohnert, Lundgren & Ng (2021) — DPVis: Visual Analytics With Hidden Markov Models for Disease Progression Pathways — model for state-persistence visualisation and role/leadership identification via matrix-based presence tracking over time.
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Choo, Lee, Reddy & Park (2013) — UTOPIAN: User-Driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization — model for the interactive topic-modelling refinement loop used to derive and iteratively adjust research-focus labels.
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Andrienko & Andrienko (2013) — A visual analytics framework for spatio-temporal analysis and modelling (ST_analysis_modelling workflow) — model for the nested-loop structure combining iterative clustering refinement with parameter calibration.
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Bernard, Barth, Cuba, Meier, Peiris & Shneiderman (2025) — IVESA — Visual Analysis of Time-Stamped Event Sequences — model for the exploratory synthesis loop with implicit termination criterion ("sufficient holistic understanding"), used for the integrated interpretation phase.
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Bernard, Wilhelm, Krüger, May, Schreck & Kohlhammer (2013) — MotionExplorer: Exploratory Search in Human Motion Capture Data Based on Hierarchical Aggregation — additional reference for exploratory loops with implicit, judgment-based termination conditions.