Metadata-Version: 2.0
Name: tribe
Version: 1.2
Summary: An graph extraction tool for email MBox files
Home-page: https://github.com/DistrictDataLabs/tribe
Author: Benjamin Bengfort
Author-email: bbengfort@districtdatalabs.com
License: MIT
Download-URL: https://github.com/DistrictDataLabs/tribe/tarball/v1.2
Keywords: graph,networkx,data science,analysis,social network
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Utilities
Requires-Dist: confire (==0.2.0)
Requires-Dist: future (==0.15.2)
Requires-Dist: matplotlib (==1.5.1)
Requires-Dist: networkx (==1.11)
Requires-Dist: python-dateutil (==2.5.3)
Requires-Dist: python-louvain (==0.5)
Requires-Dist: six (==1.10.0)

Social networks are not new, even though websites like Facebook and Twitter might make you want to believe they are; and trust me- I’m not talking about Myspace! Social networks are extremely interesting models for human behavior, whose study dates back to the early twentieth century. However, because of those websites, data scientists have access to much more data than the anthropologists who studied the networks of tribes!

Because networks take a relationship-centered view of the world, the data structures that we will analyze model real world behaviors and community. Through a suite of algorithms derived from mathematical Graph theory we are able to compute and predict behavior of individuals and communities through these types of analyses. Clearly this has a number of practical applications from recommendation to law enforcement to election prediction, and more.

Tribe is a utility that will allow you to extract a network (a graph) from a communication network that we all use often - our email. Tribe is designed to read an email mbox (a native format for email in Python)and write the resulting graph to a GraphML file on disk. This utility is generally used for District Data Labs' Graph Analytics with Python and NetworkX course, but can be used for anyone interested in studying networks. 

For more, please see the full documentation at: http://ddl-tribe.readthedocs.org/en/latest/


