Large language models recover scientific collaboration networks from text

Large language models recover scientific collaboration networks from text

Abstract Science is a collaborative endeavor. Yet, unlike co-authorship, interactions within and across teams are seldom reported in a structured way, making them hard to study at scale. We show that Large Language Models (LLMs) can solve this problem, vastly improving the efficiency and quality of...

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Bibliographic Details
Main Authors: Rathin Jeyaram, Robert N Ward, Marc Santolini
Format: Article
Language:English
Published: SpringerOpen 2024-10-01
Series:Applied Network Science
Subjects:
Social networks
Network reconstruction
Large language models
Collaboration networks
Task allocation structures
Online Access:https://doi.org/10.1007/s41109-024-00658-8

Internet

https://doi.org/10.1007/s41109-024-00658-8

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