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Cognitive MRI of AI Conversations: Research Compendium

DOI

Applying complex network analysis to ChatGPT conversation archives to reveal knowledge organization, community structure, and temporal evolution patterns.

Authors: Alexander Towell and John Matta, Southern Illinois University Edwardsville

Overview

This is the umbrella for a research program that transforms sequential AI conversation logs into semantic similarity networks, revealing latent cognitive structure in AI-assisted knowledge exploration. The program analyzes 1,908 ChatGPT conversations spanning December 2022 to April 2025. This repository is a landing page: it indexes the individual paper repositories and points to the shared data and pipeline.

Papers

Each paper is its own independent git repository under papers/ (not tracked by this umbrella). Clone them individually.

Paper Venue / status Path Repository
Cognitive MRI of AI Conversations (semantic embedding networks) Complex Networks 2025, Springer (published) papers/knowledge-networks/ cmri-knowledge-networks
Temporal Evolution of Cognitive Knowledge Networks PLOS Complex Systems (rejected 2026-04-27, seeking venue) papers/temporal-networks/ cmri-temporal-networks
From Episodes to Abstractions: Latent Hierarchical Memory ISCS 2026 papers/hierarchical-memory/ cmri-hierarchical-memory
Embedding Dynamics in progress papers/embedding-dynamics/ cmri-embedding-dynamics
Semantic Dynamics in progress papers/semantic-dynamics/ cmri-semantic-dynamics
Operational Memex early draft papers/operational-memex/ cmri-operational-memex

The published conference paper and the shared analysis pipeline (code/ and data/) live in the knowledge-networks repository; the temporal-evolution journal extension is temporal-networks.

How this repository is organized

  • papers/: the independent paper repositories (gitignored here; clone each cmri-* repo into place, or work with them separately).
  • chatgpt-conversation-corpus/: the sanitized, publishable conversation dataset, its own git repository (gitignored here). Derived from dev/; pre-release, sanitization in progress.
  • dev/: shared working corpus (gitignored; the raw conversation JSON the pipelines read).
  • future-ideas/: early-stage directions not yet promoted to their own repos.
  • docs/: program-level design and planning documents.

Shared data and pipeline

Child code reads the raw corpus from $CMRI_CORPUS_DIR, which defaults to this repo's dev/.

Citation

Cite the specific paper you use (each paper repository has its own CITATION.cff). To cite the program as a whole, use the compendium DOI: 10.5281/zenodo.18778376. See CITATION.cff for machine-readable metadata.

License

MIT

About

Research compendium: Cognitive MRI of AI Conversations. Conference paper (Complex Networks 2025, Springer) and journal extension (PLOS Complex Systems).

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