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Thursday, January 28 • 07:30 - 08:00
Animating Research Collaboration Network using PIDs, Neo4j and Gephi

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Understanding the research collaboration networks is the key to studying how science community operates. What we learned in 2020, at the time of the pandemic, highlighted how such networks evolve and transform disjointed scientific activities to a global movement working on the COVID-19 and the path to recovery. In this presentation, we use Research Graph COVID-19 cluster to demonstrate how PIDs' metadata can be used to animate this collaboration network.
 
We will use ORCID and DOIs, and leverage the graph augmentation API to connected nodes and create a Neo4j graph database. The process is captured in an open source Jupyter Notebook, enabling anyone to replicate the same process and hopefully expand on this work. Furthermore, we demonstrate how the combination of Neo4j and Gephi can be a powerful graph analytics and visualisation toolbox.

Moderators
avatar for Natasha Simons

Natasha Simons

Associate Director, Data and Services, Australian Research Data Commons
Natasha Simons has her head in the clouds - literally, technically and figuratively. She loves research data and making good stuff happen. As Associate Director, Data & Services, at the Australian Research Data Commons she is responsible for programs that support the development of... Read More →

Speakers
avatar for Amir Aryani

Amir Aryani

Swinburne University of Technology


Thursday January 28, 2021 07:30 - 08:00 UTC
Stage 1