Financial Crime and Corruption Network Motifs

A repository of network motifs indicating risk in financial and transaction networks of financial crime and corruption.

The Blog Posts

This project was created in the course of three blog posts:

1. Financial Crime and Corruption Network Motifs
2. Sigma Rules + FollowTheMoney → Crime and Corruption Risk Motifs
3. Graphlet AI: Financial Crime and Corruption Network Motifs

Data Model

The motifs in this project are based on the FollowTheMoney data model for financial networks. It represents a simple but comprehensive model for financial networks and transactions.

Pre-Requisites

To run the code in this repository, you will need the following:

• Docker

To develop locally, you will need the following:

• Anaconda Python
• Poetry

Supported operating systems:

• Mac OS X
• Ubuntu Linux
• Windows support is in progress

Docker Quickstart

You can use the docker-compose.yml file to test the code in this repository. To start the Docker container, run the following command:

docker-compose up

Code Environment Setup

We use a Docker image to run this project. You can also setup the environment locally so the code will work in VSCode or another editor. We provide a development tools setup using black, flake8, isort, mypy and pre-commit for you to modify and use as you see fit.

Install Anaconda Python

We use Anaconda Python, Python version 3.12.6, for this course. You can download Anaconda Python from here. Once it is installed, you can create a new environment for this project by running the following command:

conda create -n motifs python=3.12 -y

When you create a new environment or start a new shell, you will need to activate the motifs conda environment with the following command:

conda activate motifs

Now you are running Python 3.12 in the motifs environment. To use this Python in VSCode, hit SHIFT-CMD-P (on Mac) and select Python: Select Interpreter. Then select the motifs environment's Python.

To deactivate this environment, run:

conda deactivate

Install Poetry for Dependency Management

We use Poetry for dependency management, as it makes things fairly painless.

Install Poetry Using curl

To install using curl, just run:

curl -sSL https://install.python-poetry.org | python3 -

Install Poetry using pipx

To first install pipx, on Mac OS X run:

brew install pipx
pipx ensurepath
sudo pipx ensurepath --global # optional to allow pipx actions with --global argument

On Ubuntu Linux, run:

sudo apt update
sudo apt install pipx
pipx ensurepath
sudo pipx ensurepath --global # optional to allow pipx actions with --global argument

Then install Poetry using pipx:

pipx install poetry

It will now be outside your virtual environment and available to all your Python projects.

Install Dependencies via Poetry

poetry install

Running the Code

The code relies on a series of pytests in tests/test_motifs.py. To run the tests, use the following command:

pytest