All researchers cannot resist the charms of J K Rowling’s Harry Potter; any academic book loan is no more than 6 degrees separated from a Harry Potter book loan.
On the surface, this may seem like a frivolous aim, but the fundamental techniques and APIs used will show patterns and possibilities that have a much wider, more useful and potentially less controversial outcomes.
1 – Get ISBNs for J K Rowling works:
Used the OpenLibrary API to get title, ISBN (10 and/or 13) for J K Rowling authored works:
2 – Load all these ISBNs into a set in Redis, and begin to find related items for all of these:
3 – Find related items of those related items found previously, and repeat once more. This gives up the ‘bottom up’ view of Harry Potter related items
4 – Given a reading list of ISBNs, check each one of those for related items, and recurse through two more levels until an the top-down search hits an ISBN already found in the bottom-up.
The code requires a Redis server to be running on the localhost at the normal port.
Mendeley client (taken from http://github.com/coderholic/MendeleyClient) requires (python) oauth2. To use the ‘client.py’ wrapper, you need to add you consumer_key and consumer_secret to a file called ‘creds.py’
Checking the ISBNs for the Harry Potter books through the Talis Aspire Hackday API (http://twitter.com/robotrobot/status/19282383847) is a slightly depressing process – Only a single ‘hit’ found for one of the records… most of the other checking process looks like this: