  Network Repository (NR) is the first interactive data repository with a
web-based platform for visual interactive analytics. Unlike other data
repositories (e.g., UCI ML Data Repository, and SNAP), the network data
repository (networkrepository.com) allows users to not only download, but to
interactively analyze and visualize such data using our web-based interactive
graph analytics platform. Users can in real-time analyze, visualize, compare,
and explore data along many different dimensions. The aim of NR is to make it
easy to discover key insights into the data extremely fast with little effort
while also providing a medium for users to share data, visualizations, and
insights. Other key factors that differentiate NR from the current data
repositories is the number of graph datasets, their size, and variety. While
other data repositories are static, they also lack a means for users to
collaboratively discuss a particular dataset, corrections, or challenges with
using the data for certain applications. In contrast, we have incorporated many
social and collaborative aspects into NR in hopes of further facilitating
scientific research (e.g., users can discuss each graph, post observations,
visualizations, etc.).
