This is a companion website for a review article on the analysis of user interactions and visualization provenance.

There is fast-growing literature on provenance-related research, covering aspects such as its theoretical framework, use cases, and techniques for capturing, visualizing, and analyzing provenance data. As a result, there is an increasing need to identify and taxonomize the existing scholarship. Such an organization of the research landscape will provide a complete picture of the current state of inquiry and identify knowledge gaps or possible avenues for further investigation. In this STAR, we aim to produce a comprehensive survey of work in the data visualization and visual analytics field that focus on the analysis of user interaction and provenance data. We structure our survey around three primary questions: (1) WHY analyze provenance data, (2) WHAT provenance data to encode and how to encode it, and (3) HOW to analyze provenance data. A concluding discussion provides evidence-based guidelines and highlights concrete opportunities for future development in this emerging area.

Browse through the categorization illustrated below, or use our wizard to find potential reasons for performing provenance analysis, the types of provenance data and encodings, and finally how to analyze them!

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Use the Interactive Table

Sort the paper collection according to your requirements!

Navigate to the interactive literature overview tab and select your WHY, WHAT, and HOW and receive a full list of publications on provenance analytics that are best suited to your selection.

Learn about the WHY, WHAT, and HOW!

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