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        "author": "Yiannis Siglidis [LIP6]",
        "author_email": "Yiannis.Siglidis@lip6.fr",
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            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)",
            "Operating System :: MacOS",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: C",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Scientific/Engineering",
            "Topic :: Sociology",
            "Topic :: Software Development"
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        "description": "This library is an attempt at modelling Stream Graphs.\nA Stream Graph is a graph which nodes and links appear and disappear through time.\nVarious methods that facilitate the study of such graphs can be found in this library, both simple (as degree distribution over time) and sophisticated (as maximal temporal-cliques, temporal-centrality measures).\nThis library is hence designed for the analysis of the temporal dimension of evolving networks, such as the communication dynamics in social media. \n\nStream Graphs were first formally defined by [Matthieu Latapy *et al.*](https://hal.archives-ouvertes.fr/hal-01665084) as the generalization of static graphs.\nThey consist of four components: (1) a set of nodes (`NodeSet`) belonging to the graph, (2) a time interval (`TimeSet`) representing the graph's lifespan, (3) a set of temporal nodes (`TemporalNodeSet`) describing instants when nodes are present in the stream, and (4) a set of temporal links (`TemporalLinkSet`) describing the instants when nodes are interacting in the stream.\n\n**Warning:** This library is currently **under development**. Elementary structures and methods may change, with no support for previous versions.\n\n\n## Installing the Library\n\nUpdate: Version `0.2`\n---------------------\n- Changes in interval-dataframe backbone:\n  - Continuous (time) intervals.\n  - Discrete (time) Intervals are treated differently\n- TODO: More Verification (add continuous bounds for maximal_cliques)\n\n\nInstalling `stream_graph`\n-------------------------\nThe `stream_graph` library requires:\n\n* Python [>=2.7, >=3.5]\n* Numpy [>=1.14.0]\n* Pandas [>=0.24.0]\n* Cython [>=0.27.3]\n* six [>=1.11.0]\n* Nose [>=1.3.0]\n* Cython [>=0.27.3]\n\nIn order to allow visualizations, the user should install the latest `bokeh` library.\n\n### Installing Dependencies\n\n\nTo install dependencies:\n\n```shell\npip install extension>=extension_version\n```\n\nOr more simply:\n\n```shell\npip install -r requirements.txt\n```\nPlease add `sudo` if `pip` does not have superuser privileges.\n\n\n### Installing the `master` Version\n\n\n```shell\npip install git+https://github.com/ysig/stream_graph/\n```\n\n\n## Getting Started\n\n\nFor a first introduction to the library, please have a look at [emailEU](https://nbviewer.jupyter.org/github/ysig/stream_graph/blob/master/tutorials/emailEU/email-Eu.ipynb) or visit the [tutorials page](https://ysig.github.io/stream_graph/doc/tutorials.html) within the documentation.\n\n\n## Documentation\n\n\nThe [library documentation](https://ysig.github.io/stream_graph/doc/) is available online and automatically generated with Sphinx.\nTo generate it yourself, move to `doc` folder and execute: `make clean hmtl`, after having installed all the needed dependencies.\n\n## Authors\n\nThis package has been developed by researchers of the [Complex Networks](http://www.complexnetworks.fr/) team, within the [Computer Science Laboratory of Paris 6](https://www.lip6.fr/), for the [ODYCCEUS](https://www.odycceus.eu/) project, founded by the [European Commission FETPROACT 2016-2017 program](https://ec.europa.eu/research/participants/portal/desktop/en/opportunities/h2020/calls/h2020-fetproact-2016-2017.html) under grant 732942.\n\n### Contact\n* Yiannis Siglidis: <Yiannis.Siglidis@lip6.fr>\n* Robin Lamarche-Perrin: <Robin.Lamarche-Perrin@lip6.fr>\n\n## License\n\nCopyright \u00a9 2019 [Complex Networks - LIP6](<http://www.complexnetworks.fr>)\n\n`stream_graph` is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. It 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 GN  General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see <http://www.gnu.org/licenses/>.",
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        "name": "stream-graph",
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            "Homepage": "https://ysig.github.io/GraKeL/dev/",
            "Lab Website": "http://www.complexnetworks.fr/",
            "Source": "https://github.com/ysig/stream_graph",
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