A academic collaboration analyzer that discovers potential collaboration among scientists and researchers determining why some collaborations and topics are successful and why some are not trending built for Apache Hadoop MapReduce.
- Adam Montano - Project Manager, Related Works Research, MapReduce & MPI Programmer
- Brandon Thai Nguyen - Systems Architect & Networking, MPI Programmer
- Gabriel Fukumoto - MapReduce Programmer
- Find correlations between authors and their collaborations
- Find potential collaboration opportunities between authors
- Show “success” of a researcher(s)/topic
- Deploy Apache Hadoop 3.1.0 and MPICHv2 on a six-node cluster
- Apply knowledge learned from Big Data class
- Obtain first-hand experience with Hadoop clustering
- March 15-24
- Apache Hadoop deployed on Neuro
- March 18-24
- Spring Break
- Learn Python
- Parse database
- March 25-31
- Parse database
- April 1-30
- Analyze Data
- Find correlations
- Judge “success” of topic/researchers
- Discover potential collaborations
- May 8
- Final Presentation