I have just released the reference implementation of our SPEAR ranking algorithm. The library is written in the Python programming language, and should be straight-forward to use. You can install the library via Python’s setuptools/easy_install or download it directly from GitHub.
Here’s a quick example on how to use it from the Python interpreter:
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Get the top user and his expertise score:
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Get the top resource and its quality score:
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You can also use the library to simulate the HITS algorithm of Jon
Kleinberg. Simply supply a credit score function
C(x) = 1 to the SPEAR algorithm (see the documentation of the
Feel free to play around with it and send me feedback!