github.com/PubMedConnections/PubMedConnections ↗
A tool for exploring the relationships between authors in the PubMed database
Open this visualization on its own page →
Contributors
11
Lines of Code
984
From
2022-03-08
To
2022-09-18
About PubMedConnections/PubMedConnections
PubMed Connections is a web application designed to help researchers explore and analyze the relationships between authors in the PubMed database. The tool enables users to visualize collaboration networks and understand how academics are connected through their published research.
The project is built with a Flask backend that serves a React frontend, using Neo4j as the graph database to store and query author relationships. The application processes PubMed data to construct a network where authors are nodes and their collaborations are connections, allowing users to explore these relationships through an interactive interface.
The project includes detailed setup instructions for developers, managing dependencies through Conda environments and providing guidance on Neo4j configuration to optimize database performance and disk usage. The team has included an example graph generated from academic data at the University of Western Australia to demonstrate the tool's capabilities.