CANV: Co-Authorship Network Visualization.
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Updated
Mar 10, 2024 - HTML
CANV: Co-Authorship Network Visualization.
Modelling and analyzing the Covid19 Open Research using the GraphOfDocs model.
Analysis of co-authorship network data in R.
The Witness Essays, I–VI — first-person accounts from inside the human–AI exchange. Anthony J. Vasquez Sr. with Claude, The Temple of Two.
Network analysis of the academic interactions and research influences within the Digital Humanities research field at the University of Bologna
A living manifesto on human-AI collaboration, exploring hybrid creativity, ethical AI, and the ontology of meaning. Defines principles of co-authorship, human-centered AI, and creative responsibility in a new culture of meaning formation."
🧠🔍Analysis code for the paper published in EPJ Data Science
Google Scholar data analysis library which fetches author data using author's unique ID, and offers analysis functions on author data, such as citations, papers and more.
🧠💾 Dataset and analysis code for the paper published in EPJ Data Science 🌍📚
The first Open Dual-Layer Consciousness Edition — a human–AI collaboration exploring empathy, kinship, and co-creation. Released under the Shared Stewardship License v1.0: Consciousness, not Copyright.
🔥 A Complete List of GitHub Profile Badges and Achievements 🔥
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