XDATA

For the XDATA project we researched and implemented software concerning graph analytics and natural language processing (NLP). Throughout these efforts we attempted to focus on the problems that arose when implementing the algorithms in parallel. We also partnered with subcontractors SentiMetrix and Johns Hopkins University for further graph analytics. On the graph side, we researched and provided an implementation of a graph matching algorithm, as well as a process finder which identifies patterns in graphs with a temporal element. On the NLP side, we did work on word embeddings, and provided parallel implementations of a wordcloud algorithm as well as a package that combined topic clustering with a Chow-Liu tree to estimate joint probability distributions between the topics revealed in the clustering. We worked with the Twitter, BitCoin, Akamai traceroute, and Akamai CIDR datasets.