NODES 2025 - The Company You Keep: Mapping Scientific Collaboration with Graphs

5.0 (1)

9 learners

What you'll learn

This course includes

51.3 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

neo4j graph databases graphs LLM retrieval augmented generation RAG vector database vector search GenAI AI Artificial intelligence nodes25

Full Transcript

What if your chances for future collaboration were shaped not just by your work but by who your co-authors are and who they collaborate with? In this lightning talk, Pedro will share how he used Neo4j to turn co-authorship data into a scientific collaboration graph, revealing the hidden communities that shape research networks. Through a case study focused on authors from the University of Campinas (UNICAMP)—Brazil’s leading institution in computer science and computer engineering—you'll discover how community detection algorithms and graph thinking can surface surprising patterns in academic life, as well as how belonging to the “right” community might just open the door to your next big collaboration. Speaker: Pedro Sader Azevedo Resources: Get Started with Aura - https://bit.ly/3LOLrjh Deployment Center - https://bit.ly/4jOelM3 Ground AI Systems and Agents with Neo4j - https://bit.ly/4oVsnyb #nodes2025 #neo4j #graphdatabase #graphrag #knowledgegraph