Using Novel Social Network Visualization Techniques to Aid in the Detection and Analysis of Deception in Internal Intelligence Data
- Principal Investigator: Tyler Yazujian, Undergraduate Student, Security and Risk Analysis, email@example.com
- Co-Investigators: Glenn Sterner, Post-Doctoral Scholar, Justice Center for Research, Department of Sociology and Criminology, firstname.lastname@example.org; Peter Forster, Associate Dean for Online and Professional Education, College of Information Sciences and Technolog, email@example.com; Col. Jacob Graham, Professor of Practice of Information Sciences and Techonlogy, firstname.lastname@example.org
About the Project
- This project serves as the master’s project for Tyler Yazujian.
- To what extent can novel social network visualization techniques aid in the detection and analysis of deception in a high-risk security environment?
This project focuses on the following objectives:
- Document the social networks of a terrorist network scenario and create a social network dataset.
- Assess the viability of social network visualization and analysis method to detect deception (tactical, operational, or strategic).
- Conduct an experiment to quantitatively describe how social network visualization can aid in deception detection.
This study will have important implications for utilizing social network analysis methodologies for detecting deception in intelligence gathering processes. This will provide guidance on the use of this method within intelligence gathering, eliminating misinformation in intelligence, and assisting in keeping our military personnel and country more secure.
- This will serve as the master’s project for Tyler Yazujian.
- This project engages Tyler Yazujian as a dual undergraduate/graduate student.
We anticipate a peer reviewed journal article to be submitted Fall 2016.