__init__.py 2.37 KB
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#! /usr/bin/env python
# -*- coding: utf-8 -*-
#
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# Copyright (C) 2021 Tiago de Paula Peixoto <tiago@skewed.de>
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#
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# This program is free software: you can redistribute it and/or modify it under
# the terms of the GNU Affero General Public License as published by the Free
# Software Foundation, either version 3 of the License, or (at your option) any
# later version.
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#
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# This program is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
# FOR A PARTICULAR PURPOSE.  See the GNU Affero General Public License for more
# details.
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#
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# You should have received a copy of the GNU Affero General Public License along
# with this program.  If not, see <http://www.gnu.org/licenses/>.
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from .. import *

title = "Jazz collaboration network"
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description = """The network of collaborations among jazz musicians, and among jazz bands, extracted from The Red Hot Jazz Archive digital database, covering bands that performed between 1912 and 1940.[^icon]
[^icon]: Description obtained from the [ICON](https://icon.colorado.edu) project."""
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tags = ['Social', 'Collaboration', 'Unweighted']
url = 'https://deim.urv.cat/~alexandre.arenas/data/welcome.htm'
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citation = [('P. Gleiser and L. Danon, "Community Structure in Jazz." Advances in Complex Systems 6(4), 565-573 (2003).', 'https://doi.org/10.1142/S0219525903001067')]
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icon_hash = '56a85c8e26855e083a2f78ae'
ustream_license = None
upstream_prefix = 'http://deim.urv.cat/~alexandre.arenas/data/xarxes'
files = [('jazz.zip:jazz.net', None, None)]

def fetch_upstream(force=False):
    return fetch_upstream_files(__name__.split(".")[-1], upstream_prefix, files,
                                force)

@cache_network()
@coerce_props()
@annotate()
def parse(alts=None):
    global files
    name = __name__.split(".")[-1]
    for fnames, alt, fmt in files:
        if alts is not None and alt not in alts:
            continue
        if isinstance(fnames, str):
            fnames = [fnames]
        with ExitStack() as stack:
            fs = [stack.enter_context(open_upstream_file(name, fn, "r")) for fn in fnames]
            for i in range(3):
                next(fs[0])
            g = Graph(directed=False)
            edges = numpy.loadtxt(fs[0], dtype=str)
            g.vp.name = g.add_edge_list(edges, hashed=True, hash_type="int")
            remove_parallel_edges(g)
        yield alt, g