Inspiration
I am inspired by the work of my research Group. The study of complexity science and sociology requires a lot of network science, but I found very few scientists and sociologists using graph databases, which puzzled me.
What it does
My agent provides a dashboard geared towards science of science insights in the domain of physics: who wrote papers, which researchers collaborated together, which topics are found in which country etc.
How we built it
I basically leveraged a lot of the multi-model functionality of arangoDB, including full-text search and of course the graph database functionality
Challenges we ran into
Lanchain is new to me, so it was quite a struggle getting it to behave
Accomplishments that we're proud of
I'm glad to be using new technologies in a field that relies so much on raw networkX. I can't wait to introduce it to my team
What we learned
Graph databases are a must-use for Social Scientists!
What's next for Science of Science: Networks of Physics Researchers
I will definitely come back to this topic and work on adding more data and insights into it, particularly around sociological themes like power dynamics, core-periphary relations and inequality
Built With
- arangodb
- networkx
- openai
- plotly
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