Enhancements for a Dynamic Data Warehousing and Mining System for Large-Scale Human Social Cultural Behavioral (HSBC) Data

Abstract : In this project, to continue our development of a system that can dynamically collect and warehouse unfiltered textual communication data and make this data available to support HSCB modeling, decision making, and course of action development, we have (i) developed algorithms and an end-to-end computational framework to support graph analysis and visualization, (ii) developed graph querying capabilities such as top K and n-hop neighborhood, (iii) developed automated YouTube video metadata collection and analysis of YouTube data, and (iv) developed automated VK data collection and analysis of VK data. The features arereleased as part of Scraawl 2.0.