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README.md
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README.md
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# sugartrail
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Network analysis tool for locating suspicious directors, locations and companies via Companies House
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# Sugartrail
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## Tool Description
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Sugartrail is a work-in-progress network analysis tool and workflow that helps researchers to use a suspicious company director to discover other suspicious companies, directors and locations through Companies House.
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The workflow is based on the following observations:
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- suspicious directors often have many active appointments registered to multiple historic addresses
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- addresses with many registered businesses can contain multiple scam businesses
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## Requirements
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You will require an API key from Companies House to authenticate with the API. First you will need to create a live application to get an API key which you can do by following the [Companies House guide](https://developer.company-information.service.gov.uk/how-to-create-an-application). You will then need to manually hard-code the API key inside the `sugartrail.py` script as the value for `access_token`.
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## Installation
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1. Make sure you have Conda installed
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2. Download the tool's repository using the command:
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```bash
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git clone https://github.com/ribenamaplesyrup/sugartrail.git
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```
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3. Navigate to the main directory and run:
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```bash
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conda env create -f environment.yml
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conda activate candystore
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```
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## Usage
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- 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.
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