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@@ -29,7 +29,7 @@ Here is an overview of reports made with [Jupyter Notebooks](https://jupyter.org
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### 📖 Graph Data Science Reports
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Here are some reports that utilize Neo4j's [Graph Data Science Library](https://neo4j.com/product/graph-data-science). For a detailed reference of all CSV reports see [CSV Cypher Query Report Reference](#📃-csv-cypher-query-report-reference) below.
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Here are some reports that utilize Neo4j's [Graph Data Science Library](https://neo4j.com/product/graph-data-science). For a detailed reference of all CSV reports see [CSV Cypher Query Report Reference](#📃-csv-cypher-query-report-reference) below.
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-[Community Detection with Leiden](./results/AxonFramework-4.8.0/community-csv/Leiden_Communities.csv) ([Source Script](./scripts/reports/CommunityCsv.sh))
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-[Centrality with Page Rank](./results/AxonFramework-4.8.0/centrality-csv/Centrality_Page_Rank.csv) ([Source Script](./scripts/reports/CentralityCsv.sh))
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- On Windows it is recommended to use the git bash provided by [git for windows](https://gitforwindows.org).
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-[jq](https://github.com/jqlang/jq) the "lightweight and flexible command-line JSON processor" needs to be installed. Latest releases: https://github.com/jqlang/jq/releases/latest. Check using `jq --version`.
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- Set environment variable `NEO4J_INITIAL_PASSWORD` to a password of your choice. For example:
To run Jupyter notebooks, create an `.env` file in the folder from where you open the notebook containing for example: `NEO4J_INITIAL_PASSWORD=neo4j_password_of_my_choice`
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### Further Prerequisites for Python and Jupyter Notebooks
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-[Graph Visualization](./graph-visualization/README.md) uses [node.js](https://nodejs.org/de) and the dependencies listed in [package.json](./graph-visualization/package.json).
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**Big shout-out** 📣 to all the creators and contributors of these great libraries 👍. Projects like this wouldn't be possible without them. Feel free to [create an issue](https://github.com/JohT/code-graph-analysis-pipeline/issues/new/choose) if i've forgotten something in the list.
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**Big shout-out** 📣 to all the creators and contributors of these great libraries 👍. Projects like this wouldn't be possible without them. Feel free to [create an issue](https://github.com/JohT/code-graph-analysis-pipeline/issues/new/choose) if i've forgotten something in the list.
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