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    "info": {
        "author": "Renato Fabbri",
        "author_email": "renato.fabbri@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "Intended Audience :: Education",
            "Intended Audience :: Other Audience",
            "Intended Audience :: Science/Research",
            "License :: CC0 1.0 Universal (CC0 1.0) Public Domain Dedication",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 3",
            "Topic :: Artistic Software",
            "Topic :: Other/Nonlisted Topic",
            "Topic :: Scientific/Engineering :: Information Analysis",
            "Topic :: Scientific/Engineering :: Physics",
            "Topic :: Scientific/Engineering :: Visualization",
            "Topic :: System :: Networking",
            "Topic :: Text Processing",
            "Topic :: Text Processing :: Linguistic"
        ],
        "description": "# losd\na very simple python package for SPARQL querying the LOSD (linked open social data) dataset.\n\n### install with\n    $ pip install losd\n\nor\n\n    $ python setup.py losd\n\nFor greater control of customization, hacking and debugging, clone the repository and install with pip using -e:\n\n    $ git clone https://github.com/ttm/losd.git\n    $ pip3 install -e <path_to_repo>\n\n# usage\n\nQueries have the heading:\n```\nPREFIX po: <http://purl.org/socialparticipation/po/>\n```\n\nExamples of usage:\n\n```python\nimport losd as l\npl = l.plainQueryValues\nq = l.query\n\n# get all snapshots:\nquery = '''\nSELECT ?s WHERE {\n  ?s a po:Snapshot\n}\n'''\n\nres = pl(q(query))\n\n##########\n# from here on, check to assure that the uris correspond to\n# the snapshot (types) intended\n\n# get all friendship relations in a facebook snapshot:\nuri = res[99]\nquery = '''\nSELECT ?a1 ?a2 WHERE {\n?f a po:Friendship . ?f po:snapshot <%s> .\n?f po:member ?a1, ?a2 .\nFILTER(?a1 != ?a2)\n}\n''' % (uri,)\nres2 = pl(q(query))\n\n\n# get all retweet interactions in a Twitter snapshot:\nuri = res[-1]\nquery = '''\nSELECT ?a1 ?a2 WHERE {\n?m1 po:retweetOf ?m2 . ?m1 po:author ?a1 . ?m2 po:author ?a2 .\n?m1 po:snapshot <%s>\n}\n''' % (uri,)\nres3 = pl(q(query))\n\n# get all interactions in a email snapshot:\nuri = res[48]\nquery = '''\nSELECT ?from ?to WHERE {\n?message1 po:snapshot <%s> . ?message2 po:replyTo ?message1 .\n?message1 po:author ?from . ?message2 po:author ?to .\n}\n''' % (uri,)\nres4 = pl(q(query))\n\n# get all interactions in a IRC snapshot, with texts:\nuri = res[102]\nquery = '''\nSELECT ?a1 ?a2 ?t WHERE {\n?m a po:IRCMessage . ?m po:author ?a1 . ?m po:directedTo ?a2 .\n?m po:cleanText ?t . ?m po:snapshot <%s>\n}\n''' % (uri,)\nres5 = pl(q(query))\n\n# get all interactions in the AA snapshot:\nquery = '''\nSELECT ?a1 ?a2 WHERE {\n?s po:author ?a1 . ?s po:checkParticipant ?a2 .\n}\n'''\nres6 = pl(q(query))\n\n\n# get all friendshipts in the Participa.BR snapshot:\nuri = res[104]\nquery = '''\nSELECT ?a1 ?a2 WHERE {\n?f a po:Friendship . ?f po:snapshot <%s> .\n?f po:member ?a1, ?a2 .\nFILTER(?a1 != ?a2)\n}\n''' % (uri,)\nres7 = pl(q(query))\n\n# get all interactions in the Participa.BR snapshot:\nuri = res[104]\nquery = '''\nSELECT ?a1 ?a2 WHERE {\n?a po:snapshot <%s> . ?a a po:Article .\n?a po:author ?a1 . ?c po:article ?a . ?c po:author ?a2 .\n}\n''' % (uri,)\nres8 = pl(q(query))\n\n# get all interaction in the Cidade Democr\u00e1tica snapshot:\nuri = res[45]\nquery = '''\nSELECT ?a1 ?a2 WHERE {\n?t po:snapshot <%s> .  ?t a po:Topic . ?t po:author ?a1 .\n?c a po:Comment . ?c po:topic ?t . ?c po:author ?a2 .\n}\n''' % (uri,)\nres9 = pl(q(query))\n\n\ninteraction = [\n    res3,\n    res4,\n    res5,\n    res6,\n    res8,\n    res9\n]\nfriendship = [\n    res2,\n    res7,\n]\n\nfr = []\nfor relations in friendship:\n    fr.append(l.mkRelationNetwork(relations))\n\ninte = []\nfor interactions in interaction:\n    inte.append(l.mkInteractionNetwork(interactions))\n\n# finished. Play with the networks in fr and inte\n# maybe use networkx and pylab to plat them\n\n# :::\n```\n\n### deployment to pypi\nThis package \u0456s delivered by running:\n  $ python3 setup.py sdist\n  $ twine upload dist/\n\nMaybe use \"python setup.py sdist upload -r pypi\" ?\n\n### Further information\nFurther information should be found in the LOSD article repository:\n\n### Better usage\nPlease consider registration into Data.World to use LOSd in accordance with their policy and facilitating assistance by their staff.\nTake a look at [their own python package](https://pypi.org/project/datadotworld/).\n\n### Contact\nAny issues, questions or ideas should be sent to:\n\nrenato (dot) fabbri [AT] gmail {DOT} com\n\n:::",
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        "home_page": "https://github.com/ttm/losd",
        "keywords": "physics,complex networks,social networks,text,language,linked data",
        "license": "MIT",
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        "summary": "losd is (currently) a very simple python package for querying the LOSD (linked open social data) dataset",
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