Context networks are visualizations of the terms with a meaningful relationship with the respective terms or concepts in your query.

Below, you'll find our video and written guides that walk you through everything you need to know about how to use and get the most out of your Context Networks!

Video walk-through ๐ŸŽฅ

Keep scrolling for our written guide instead ๐Ÿ““ ๐Ÿ‘‡

Context Network 101:

The lines linking each node indicate a relationship between those terms with the thickness of the line indicating the strength of the relationship between those two terms - for example here we can easily see that there is a strong relationship between the term โ€˜Moviesโ€™ (which is what weโ€™ve queried for) and the term โ€˜Screenโ€™:

You can also use the context chart to the right to see a list of the strongest relationships ranged from strongest to weakest:

By default, we only show the lines for the strongest relationships but you can hover over each node to see all of its relationships (if there is no line linking two terms, then either the relationship between those two terms is too weak to consider or there is no relationship between them at all).

Your Context Networks are Dynamic:

Your context networks will also dynamically update based on the different filters you apply to your query. For example:

If we add a layer to our query to show us all of the customers who have mentioned โ€˜Moviesโ€™ who are also Detractors, our context network will update so that we can get a more specific view of what the surrounding context is when detractors are talking about โ€˜Moviesโ€™ which in this case is movie stability (check out the before & after images below for a visual reference!).

Before (All customers)

After (Detractors)

Using Context Networks to understand your customer segments:

Similar to how your Storyboard highlights the top themes across your entire data set, you can also use your Context Networks as a way to view what the top themes are for specific customer segments, as well!

For example:

We can run a comparison query to highlight the most common themes that Promoters are talking about vs the most common themes that Detractors are talking about:

Promoters


Detractors

The best part is that you can do this for any of the structured fields included in your data set (e.g. Gender, Age, Location, Revenue, etc.), making it a super powerful tool when wanting to get to the heart of what is driving customer behaviour across your business!

Additional Tips:

  • Concepts from your query will appear in their storyboard color. These are sized based on frequency.
  • Terms from your query will appear in light grey. These are sized based on frequency.
  • Context terms will appear in dark grey. These are sized by the influence score to your query.

If you have any questions about your Context Networks (or anything else!) you can get in touch with us any time by hitting the blue chat button to your right ๐Ÿ‘‰

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