CREDITS.txt

Snap.py is a Python interface for SNAP. SNAP is a general purpose, high
performance system for analysis and manipulation of large networks. SNAP
is written in C++ and optimized for maximum performance and compact graph
representation. It easily scales to massive networks with hundreds of
millions of nodes, and billions of edges.

Snap.py provides performance benefits of SNAP, combined with flexibility
of Python. Most of the SNAP functionality is available via Snap.py in Python.

The following people contributed to the development of Snap.py (in
alphabetical order):
Ruth-Ann Armstrong
Roger Chen
Benoît Coste
Carlos Hernandez
Jihun Hong
Farzaan Kaiyom
Viswesh Krishna
Daiki Kumazawa
Jure Leskovec
Stephen Macke
Ben Pastel
Karthik Ramachandran
Sheila Ramaswamy
Avery Rogers
Nicholas Shelly
Rok Sosic
Ming Han Teh
Cameron Tew
Albert Zheng

Special thanks go to the students in the 2013 class of CS224W at Stanford
University, who helped with the initial version of the manuals and the beta
releases of Snap.py.