Developed by the Knowledge Discovery Lab at UMass directed by Prof. Jensen, Proximity is tool for describing, exploring, manipulating, and modeling the interconnections of people, places, things, and events.
It has a high-performance engine for storing very large datasets (tens of M of nodes and links), a visual query language for complex searches, and a set of powerful machine learning modules that build human-readable explanations of how the nodes interact and influence each other.
Proximity has modeled the Hollywood world, studied how to prevent securities fraud, helped analysts in the intelligence community, modeled protein interactions in cells, described the behaviour of P2P networks, predicted the success of NFL coaches, and improved anonymization techniques in social networks
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