Graph Analytics

  • Are you a social scientist who would like to find primary influencers over a friendship and message network?
  • Are you an investigator who would like to track suspicious alliances in a network of rogue organizations and individuals?
  • Are you a network biologist who would like to find relationships between genes in a chromosomal region and a family of diseases?
  • Did you know that Cisco estimates 50 billion connected devices by 2020?
Graph Analytics is a rapidly developing area where a combination of graph-theoretic, statistical, and database techniques are applied to model, store, retrieve, and perform analyses on graph-structured data. These techniques enable us to understand the structure of a network and how it changes in different conditions.
The Graph Analytics course offers a broad overview as well as insight into specific analytical techniques. We introduce how to model a problem into a graph database and perform analytical tasks over it in a scalable manner. Based on a fully worked-out use case, the course provides a comprehensive understanding of how to apply graph analytics to your applications.