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    "info": {
        "author": "Andrew Mellor",
        "author_email": "mellor91@hotmail.co.uk",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: Apache Software License",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.2",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering"
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        "description": "# Generalised Event Graphs\n\nA python library for analysing temporal networks.\n\n#### Features:\n\n1. Building the temporal event graph (static representation of a temporal network)\n2. Calculating temporal motifs (with arbitrary number of events)\n3. Inter-event time distributions\n4. Motif distributions\n5. Network decompositions into temporal components\n6. Saving/Loading functionality\n\nPlease cite the following papers when using:\n\n**Generalised Event Graphs**. *Andrew Mellor* (2018)\n\n**The Temporal Event Graph**. *Andrew Mellor* (2017)\n[ArXiv Link](https://arxiv.org/abs/1706.02128)\n\n\n\n",
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        "keywords": "temporal motifs networks events clickstreams higher-order",
        "license": "Apache Software License",
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        "name": "eventgraphs",
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        "summary": "Creating event graphs from temporal network event sequence data (clickstreams, messages, contacts, etc.).",
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