Metadata-Version: 1.1
Name: linkpred
Version: 0.1
Summary: Python package for link prediction
Home-page: http://github.com/rafguns/linkpred/
Author: Raf Guns
Author-email: raf.guns@uantwerpen.be
License: New BSD License
Description: linkpred
        ========
        
        **linkpred** is a Python package for link prediction: given a network, **linkpred** provides a number of heuristics (known as *predictors*) that assess the likelihood of potential links in a future snapshot of the network.
        
        While some predictors are fairly straightforward (e.g., if two people have a large number of mutual friends, it seems likely that eventually they will meet and become friends), others are more involved.
        
        
        .. image:: https://travis-ci.org/rafguns/linkpred.svg?branch=master
            :target: https://travis-ci.org/rafguns/linkpred
        
        .. image:: https://coveralls.io/repos/rafguns/linkpred/badge.svg?branch=master
            :target: https://coveralls.io/r/rafguns/linkpred?branch=master
        
        
        Example
        -------
        
        ::
        
            >>> import linkpred
            >>> G = linkpred.read_network("examples/training.net")
            11:49:00 - INFO - Reading file 'examples/training.net'...
            11:49:00 - INFO - Successfully read file.
            >>> len(G)   # number of nodes
            632
            >>> # We exclude edges already present, to predict only new links
            >>> simrank = linkpred.predictors.SimRank(G, excluded=G.edges())
            >>> simrank_results = simrank.predict(c=0.5)
            >>> top = simrank_results.top(5)
            >>> for authors, score in top.items():
            ...    print authors, score
            ...
            Tomizawa, H - Fujigaki, Y 0.188686630053
            Shirabe, M - Hayashi, T 0.143866427916
            Garfield, E - Fuseler, EA 0.148097050146
            Persson, O - Larsen, IM 0.138516589957
            Vanleeuwen, TN - Noyons, ECM 0.185040358711
        
Platform: any
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Development Status :: 4 - Beta
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
