Network Repository. An Interactive Scientific Network Data Repository.

Try the new interactive visual graph data mining and machine learning platform! This is a free demo version of GraphVis. It can be used to analyze and explore network data in real-time over the web. GraphVis is also extremely useful as an educational tool as it allows an individual to interactively explore and understand fundamental key concepts in graph theory, network science, and machine learning. For more details, use cases, and ways of using and combining these interactive tools and functionality, see GraphVis and the technical publication.

I didn't pick up my pen until it was late at night. I put fake rolex next to me and listened to the ticking sound of the watch. With the continuous sound of the pen in my hand, my brain was working and my knowledge was enriched little by little.

The platform combines interactive visual representations with state-of-the-art network data mining and relational machine learning techniques to aid in revealing important insights quickly in real-time over the web. Visual representations and interaction techniques and tools are developed for simple, fast, and intuitive real-time interactive exploration, mining, and modeling of graph data. Other key aspects include interactive filtering, querying, ranking, manipulating, exporting, as well as tools for dynamic network analysis and visualization, interactive graph generators (including new block model approaches), and a variety of multi-level network analysis techniques. Most graph data formats are supported (edge lists, mtx, gml, xml, graphml, json, paj, net, etc.), simply drag and drop your network dataset into the browser window (or load one from network data repository using the left menu). For a demo of some features, see https://youtu.be/3cCa2jQVb2o and https://youtu.be/VE-GsP4p9n8.

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.).