Infer movement patterns from large amounts of geo-temporal data in a cloud environment.

Quickly analyze and explore email with advanced analytics and visualization.

Spark / graphX implementation of the distributed louvain modularity algorithm

NodeJS script and Docker files to create MySQL/MongoDB backed AngularJS/Bootstrap web application

Distributed Graph Analytics (DGA) is a compendium of graph analytics written for Bulk-Synchronous-Parallel (BSP) processing frameworks such as Giraph and GraphX. The analytics included are High Betweenness Set Extraction, Weakly Connected Components, Page Rank, Leaf Compression, and Louvain Modularity.

C# application to convert Analyst notebook files

A series of analytics for creating networks from geo-temporal track data based on time/space co-occurrence. Includes UI for visualization of communities and tracks.