Open data set to calculate the correlation between different brands

Question

Is there any data sets / methods available to find correlation between different 'bands' ?

Brands : Puma, Google, Microsoft, Nike, BMW etc

Is there any open data set available to find this correlation ? Also what are the different attributes/ methods that can be used to find correlation between them ?

eg : Nike is similar to Adidas with score say 0.9 (fitness brands) Nike is similar to Levis with score say 0.3 (apparels brands) Nike is similar to Google with score say 0.0 (different industry)

Answer 1

You should clarify your question, maybe giving more details about the application. There are many different ways a brand can be similar (or correlated) to another one, for example:

1. Correlation of stock trends. In this case, dataset can be found in yahoo finance, for example.
2. "Product Space" Analysis
3. By clustering features of each company

Answer 2

You should look for semantic similarity. The normalized Google distance should be a good place to start, and gives the kind of [0-1] rating you are looking for.

The Normalized Google Distance is a semantic similarity measure derived from the number of hits returned by the Google search engine for a given set of keywords.1 Keywords with the same or similar meanings in a natural language sense tend to be "close" in units of Normalized Google Distance, while words with dissimilar meanings tend to be farther apart.

https://en.wikipedia.org/wiki/Normalized_Google_distance