Mind-Mapping Data Analysis with LLMs: From Vision to First Steps
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Date
2025
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
We explore how large language models (LLMs) can support real-time visual mapping of data analysis workflows. Building on an earlier vision, we investigate if and how LLMs can decompose analytic dialogues into ''analysis maps'' that capture key semantic units such as questions, datasets, tasks, and findings. Using two exemplar analyses, we test both post-hoc and interactive strategies for generating these maps and experiment with prompting techniques for structuring and updating them. Results, documented in Observable notebooks, suggest that LLMs can scaffold analysis-as-network meaningfully-laying the groundwork for user-facing systems and moving beyond purely textual forms of LLM-mediated analysis.
Description
CCS Concepts: Computing methodologies → Collision detection; Hardware → Sensors and actuators; PCB design and layout
@inproceedings{10.2312:cgvc.20251221,
booktitle = {Computer Graphics and Visual Computing (CGVC)},
editor = {Sheng, Yun and Slingsby, Aidan},
title = {{Mind-Mapping Data Analysis with LLMs: From Vision to First Steps}},
author = {Jianu, Radu and Hutchinson, Maeve and Andrienko, Natalia and Andrienko, Gennady and Elshehaly, Mai and Slingsby, Aidan},
year = {2025},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-293-6},
DOI = {10.2312/cgvc.20251221}
}