LelandYan/ResearchRelationshipNetwork_KnowledgeGraph

Research relationship network analysis based on knowledge graph

20
/ 100
Experimental

This project helps researchers, academics, or research managers analyze and visualize relationships within the computer science research network. You can input researcher names, research areas, or keywords to get detailed profiles, collaboration networks, and recommended collaborators. It outputs interactive visualizations and expert 'technical portraits' that summarize a researcher's expertise and connections.

No commits in the last 6 months.

Use this if you need to understand existing research landscapes, identify key experts, or discover potential collaborators in the field of computer science.

Not ideal if your primary need is to conduct highly detailed statistical analysis of publication metrics or if you are outside the computer science domain.

academic-research expert-finding research-collaboration knowledge-discovery computer-science
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 0 / 25

How are scores calculated?

Stars

7

Forks

Language

Jupyter Notebook

License

MIT

Last pushed

Jul 17, 2021

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/LelandYan/ResearchRelationshipNetwork_KnowledgeGraph"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.