Metadata-Version: 2.0
Name: eventgraphs
Version: 0.1
Summary: Creating event graphs from temporal network event sequence data (clickstreams, messages, contacts,
                  etc.).
Home-page: UNKNOWN
Author: Andrew Mellor
Author-email: mellor91@hotmail.co.uk
License: Apache Software License
Keywords: temporal motifs networks events clickstreams higher-order
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Topic :: Scientific/Engineering
Classifier: Intended Audience :: Science/Research
Requires-Python: >=3
Requires-Dist: ipython
Requires-Dist: matplotlib
Requires-Dist: networkx
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scipy

# Generalised Event Graphs

A python library for analysing temporal networks.

#### Features:

1. Building the temporal event graph (static representation of a temporal network)
2. Calculating temporal motifs (with arbitrary number of events)
3. Inter-event time distributions
4. Motif distributions
5. Network decompositions into temporal components
6. Saving/Loading functionality

Please cite the following papers when using:

**Generalised Event Graphs**. *Andrew Mellor* (2018)

**The Temporal Event Graph**. *Andrew Mellor* (2017)
[ArXiv Link](https://arxiv.org/abs/1706.02128)



