Metadata-Version: 1.1
Name: absorbing-centrality
Version: 0.1.0
Summary: An implementation of the absorbing random-walk centrality measure for graphs.
Home-page: https://github.com/harrymvr/absorbing-centrality
Author: Charalampos Mavroforakis
Author-email: cmav@bu.edu
License: ISC
Description: ================================
        Absorbing Random-Walk Centrality
        ================================
        
        |docs| |travis| |coveralls|
            
        This is an implementation of the *absorbing random-walk centrality* measure for 
        nodes in graphs. For the definition of the measure, as well as a study of the
        related optimization problem and algorithmic techniques, please see the pre-print
        publication on arXiv_. A short version of this paper will appear in the
        `ICDM 2015`__.
        
        .. _arXiv: http://arxiv.org/abs/1509.02533
        __ http://icdm2015.stonybrook.edu/
        
        To cite this work, please use
        
        ::
        
           Mavroforakis, Charalampos, Michael Mathioudakis, and Aristides Gionis.
           "Absorbing random-walk centrality: Theory and algorithms"
           Data Mining (ICDM), 2015 IEEE International Conference on. IEEE, 2015.
        
        
        Installation
        ------------
        
        You can install the *absorbing_centrality* package by executing the following command in a terminal.
        
        ::
        
           pip install git+https://github.com/harrymvr/absorbing-centrality#Egg=absorbing_centrality
        
        Documentation
        -------------
        
        For instructions on how to use the package, consult `its documentation`__.
        
        __ https://absorbing-centrality.readthedocs.org/
        
        Development
        -----------
        
        To run all the tests for the code, you will need tox_ -- check its webpage for instructions on how to install it.
        
        .. _tox: https://testrun.org/tox/latest/
        
        Once tox_ is installed, use your terminal to enter the directory with the local copy of the code (here it's named '*absorbing-centrality*') and simply type the following command.
        
        ::
        
            absorbing-centrality $ tox
        
        If everything goes well, you'll receive a congratulatory message. 
        
        
        Note that the code is distributed under the Open Source Initiative (ISC) license.
        For the exact terms of distribution, see the LICENSE_.
        
        .. _LICENSE: ./LICENSE
        
        ::
        
           Copyright (c) 2015, absorbing-centrality contributors,
           Charalampos Mavroforakis <cmav@bu.edu>,
           Michael Mathioudakis <michael.mathioudakis@aalto.fi>,
           Aristides Gionis <aristides.gionis@aalto.fi>
        
            
        .. |docs| image:: https://readthedocs.org/projects/absorbing-centrality/badge/?version=latest
            :target: https://absorbing-centrality.readthedocs.org/en/latest/
            :alt: Documentation Statu
        
        .. |travis| image:: https://travis-ci.org/harrymvr/absorbing-centrality.svg?branch=master
            :alt: Travis-CI Build Status
            :target: https://travis-ci.org/harrymvr/absorbing-centrality
        
        .. |requires| image:: https://requires.io/github/harrymvr/absorbing-centrality/requirements.svg?branch=master
            :alt: Requirements Status
            :target: https://requires.io/github/harrymvr/absorbing-centrality/requirements/?branch=master
        
        
        .. |coveralls| image:: https://coveralls.io/repos/harrymvr/absorbing-centrality/badge.svg?branch=master&service=github
            :alt: Coverage Status
            :target: https://coveralls.io/github/harrymvr/absorbing-centrality?branch=master
        
        
        .. |version| image:: https://img.shields.io/pypi/v/absorbing_centrality.svg?style=flat
            :alt: PyPI Package latest release
            :target: https://pypi.python.org/pypi/absorbing_centrality
        
        .. |downloads| image:: https://img.shields.io/pypi/dm/absorbing_centrality.svg?style=flat
            :alt: PyPI Package monthly downloads
            :target: https://pypi.python.org/pypi/absorbing_centrality
        
        .. |wheel| image:: https://img.shields.io/pypi/wheel/absorbing_centrality.svg?style=flat
            :alt: PyPI Wheel
            :target: https://pypi.python.org/pypi/absorbing_centrality
        
        .. |supported-versions| image:: https://img.shields.io/pypi/pyversions/absorbing_centrality.svg?style=flat
            :alt: Supported versions
            :target: https://pypi.python.org/pypi/absorbing_centrality
        
        .. |supported-implementations| image:: https://img.shields.io/pypi/implementation/absorbing_centrality.svg?style=flat
            :alt: Supported imlementations
            :target: https://pypi.python.org/pypi/absorbing_centrality
        
        
        
        Changelog
        =========
        
        0.1.0 (2015-08-31)
        -----------------------------------------
        
        * Working version of the package.
        
Keywords: graph mining,node centrality,random walks,algorithms,data mining
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: Unix
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: License :: OSI Approved :: ISC License (ISCL)
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Natural Language :: English
