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.
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."
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.
🧠💾 Dataset and analysis code for the paper submitted to EPJDS 🌍📚
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.
🧠🔍Analysis code of the paper published in EPJ Data Science
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