week-34-citations.adoc

Week 34 - Discover Aura Free - Citations

Tweet OpenCitations https://twitter.com/cthoyt/status/1565972892642320386

Download - Unfortunately Too Large http://opencitations.net/download#ccc

Citation data (CSV) ZIP 221.8 GB (34.81 GB zipped)

Search https://opencitations.net/search?text=database&rule=any_text

Health Ecco Paper: https://healthecco.org/

Remembered Citations Network from Graph Algorithms Book

https://www.oreilly.com/library/view/graph-algorithms/9781492047674/

TODO book image:

see also Link Prediction Data Science Guides

https://neo4j.com/developer/graph-data-science/link-prediction/scikit-learn/

Import there is form DBLP JSON

In this guide, we’re going to use data from the DBLP Citation Network, which includes citation data from various academic sources. The full dataset is very large, but we’re going to use a subset that contains data from a few Software Development Conferences.

https://neo4j.com/developer/graph-data-science/link-prediction/scikit-learn/#citation-graph

https://github.com/neo4j-examples/link-prediction/blob/master/notebooks/01_DataLoading.ipynb

Source: https://www.aminer.org/citation

Figure 1. Citation Network

Figure 2. Co-Authors

Nature Co-Cited Graphs

Video: https://www.youtube.com/watch?v=GW4s58u8PZo

Visualization: https://www.nature.com/immersive/d41586-019-03165-4/index.html

Data Download: https://www.nature.com/immersive/d41586-019-03165-4/dat/data.zip

Gist For Loading via APOC: https://gist.github.com/jexp/54500b691a5f9a13e024b9a7aeaa3f5f

Data Importer

Explore

Query:

3d-force graph: https://github.com/jexp/neo4j-3d-force-graph