Connecting the dots: network science on GOV.UK

...content item. In this way, the structural network of GOV.UK is created, consisting of approximately 250,000 nodes and 350,000 links. When we first started using network science methods on the...
...content item. In this way, the structural network of GOV.UK is created, consisting of approximately 250,000 nodes and 350,000 links. When we first started using network science methods on the...
We're using supervised machine learning to organise all the content on GOV.UK, which means we can do things like create step by step journeys and consider voice activation. Here's what the data science team did.
This is a cross government blog about our work with data and the way we’re using performance analysis and data science techniques to improve service delivery and policy outcomes, and our work to find, access and use open government data.
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