Chris Nennemann
be9cf9c5d9
New features: - 12 interactive visualizations (ietf viz): t-SNE landscape, similarity heatmap, score distributions, timeline, bubble explorer, radar charts, author network graph, category treemap, quality vs overlap, org bar chart, ideas chart, and interactive draft browser - Interactive draft browser (browser.html): filterable by category, keyword, score sliders with sortable table and expandable detail rows - arXiv paper (paper/main.tex): 13-page manuscript with all findings - Gap analysis: 12 identified under-addressed areas - Author network: collaboration graph, org contributions, cross-org analysis - Draft generation from gaps (ietf draft-gen) - Auto-load .env for API keys (python-dotenv) New modules: visualize.py, authors.py, draftgen.py New reports: timeline, overlap-matrix, authors, gaps New deps: plotly, matplotlib, seaborn, scipy, scikit-learn, networkx, python-dotenv Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Specifies integr"],[3.75,3,3,"2025-10-20","Describes lightweight variation of Autonomic Networking Infrastructure without expensive ACP impleme"],[3.7,2,4,"2025-11-03","Specifies a NETCONF mechanism to map configuration modifications to their originating NMS using exte"],[3.65,2,3,"2025-11-03","Introduces a comprehensive agents networking framework for enterprise and broadband environments. De"],[3.65,2,3,"2025-11-02","Proposes using Model Context Protocol (MCP) to enable LLM-based automated network troubleshooting. M"],[3.65,2,3,"2026-02-22","Framework for AI-assisted network protocol testing using LLMs and automated test generation. 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