The Database, Data Mining, and Bioinformatics lab's (DBL) research focuses on network science, scalable querying, and mining of graphs, and bioinformatics.
Network science is a new and emerging scientific discipline that examines the interconnections among diverse physical or engineered networks, information networks, biological networks, cognitive and semantic networks, and social networks. This field of science seeks to discover common principles, algorithms and tools that govern network behavior.
DBL is developing methodologies, algorithms, and implementations needed for scalable, dynamic, and resilient networks. Specific problems include querying composite networks, modeling dynamic networks, sentiment analysis, analysis of content and user behavior, discovering unusual patterns, and sampling in composite networks.
Using CrowdSignals.io DataDBL will use the CrowdSignals.io data for academic research, studying the dataset from a network-based modeling perspective.