mirror of
https://github.com/bellingcat/sugartrail.git
synced 2026-06-08 03:28:31 +03:00
extensive update
This commit is contained in:
12
README.md
12
README.md
@@ -1,13 +1,8 @@
|
||||
# Sugartrail
|
||||
|
||||
## Tool Description
|
||||

|
||||
|
||||
Sugartrail is a work-in-progress network analysis tool and workflow that helps researchers to use a suspicious officer to discover other suspicious officers, companies and locations through Companies House.
|
||||
|
||||
The workflow is based on the following observations:
|
||||
|
||||
- suspicious directors often have many active companies registered to multiple historic addresses
|
||||
- addresses with many registered companies can contain multiple scam companies
|
||||
Sugartrail is a network analysis and visualisation tool easier and faster for researchers to explore connections between companies, persons and addresses within Companies House.
|
||||
|
||||
## Requirements
|
||||
|
||||
@@ -28,10 +23,9 @@ git clone https://github.com/ribenamaplesyrup/sugartrail.git
|
||||
```bash
|
||||
conda env create -f environment.yml
|
||||
conda activate candystore
|
||||
jupyter nbextension enable --py --sys-prefix ipyleaflet
|
||||
jupyter notebook
|
||||
```
|
||||
4. Open `Tutorial 1 - Exit Through the Candy Shop`
|
||||
|
||||
## Usage
|
||||
|
||||
- A walkthrough of how to use the tool is included in the linked Jupyter notebook showing how we can get from suspicious Candy Stores of Oxford Street to several prolific scammers.
|
||||
|
||||
Reference in New Issue
Block a user