README.md

coauth-scripts

Scripts for processing the Coauth dataset

Usage

To run these scripts requires setting up the original database in a Neo4j instance, running specific Cypher queries to extract the data into a workable format, then running the Python scripts in this repo to convert it into node and edge CSV files suitable for Multinet Girder.

1. Download the Neo4j data dump: curl -O -J https://data.kitware.com/api/v1/file/5cc709cf8d777f072b766fbf/download.
2. Unpack the data: tar xzvf data_dblp.tar.gz.
3. Load the data into Neo4j: sudo neo4j-admin load --from=data_dblp/databases/ --force=true.
4. Extract the node data: CYPHERSHELL=cypher-shell USERNAME=neo4j PASSWORD=neo4j sh all-nodes.sh (subtituting CYPHERSHELL, USERNAME, and PASSWORD for your local equivalents). Note that the final line of output from this script will be the name of a temp file containing the extracted node data, called DUMPFILE in the following step.
5. Run the Python script to convert the dumped data to CSV files: python cypher2cnode.py author.csv journal.csv conference.csv <${DUMPFILE}. This will create files author.csv, journal.csv, and conference.csv containing node data of those types.
6. Extract the edge data and pipe it through the Python script to convert it to a CSV: CYPHERSHELL=cypher-shell USERNAME=neo4j PASSWORD=neo4j sh all-links.sh | python cypher2edge.py author.csv journal.csv conference.csv >authorship.csv (again substituting proper values for CYPHERSHELL, USERNAME, and PASSWORD). This will create file authorship.csv containing edge data between the records in the three node data files.

After running these steps you will have four files: author.csv containing author node data; journal.csv and conference.csv containing publication node data; and authorship.csv containing edge data linking publications to authors via an "authored by" relation.