A Mixed Graph-Relational Dataset of Socio-technical Interactions in Open Source Systems
<p># Realtional Dataset</p> <p>- Downlaod Dump.sql <br> - Before importing Dump.sql icrease your max_allowed_packet=4M to 16M in your MySQL initialization usually located at C:\ProgramData\MySQL\MySQL Server 8.0\my.ini <br> - Import Dump.sql to your local MySQL server by MySQL Workbech->Server->Data Import -> Import from Self-Contained File -> Start Import<br> <br> ---------------------------------------------------------------------------------------------------------------------------------------<br> # Graph Dataset via graphs_cypher</p> <p># Download Neo4j Desktop</p> <p>Download link can be found here https://neo4j.com/</p> <p># Add Graph in Neo4j Desktop</p> <p>Run Neo4j Desktop application and follow instructions:</p> <p>- Click on Add Graph<br> - Set desired name and password<br> - Click on Create<br> - Start the Graph database</p> <p><br> # Loading Cypher scripts to Graph database</p> <p> </p> <p>Once the graph database is running, start Neo4j browser and execute cypher script for each project.<br> as show in the figure below<br> </p> <p>The script will insert the data of the graph in the database.</p> <p>OR</p> <p># Loading from graph.db</p> <p>- Download the graph.db <br> - graph.db contains subfolder DeveloperInteractionGraph.db and SubsystemInteractionGraph.db <br> - To visualize any desired graph from the graph.db/DeveloperInteractionGraph.db or SubsystemInteractionGraph.db <br> - Create a graph in Neo4j<br> - Click on Manage<br> - Click on Open Folder<br> - Paste the desired (project).db inside the data/databases folder<br> - Restart DB<br> - Neo4j credentials:<br> userid = neo4j<br> password = admin</p> <p>## Visualize graph</p> <p>The resultant graph can be visualized using following query:<br> Show only 25 nodes<br> ```<br> $ MATCH (n) RETURN n LIMIT 25<br> ```</p> <p>Show all nodes<br> ```<br> $ MATCH (n) RETURN n<br> ```<br> </p> <p> </p>
ShareScore
24/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 0