Summaries - Office of Research & Innovation
Back Social Network Analysis (SNA) Mobile Training Team (MTT) MASL P309885 for Norway and Sweden
|Division||Graduate School of Operational & Information Sciences|
|Investigator(s)||Everton, Sean F.|
|Sponsor||Naval Education Training Security Assistance Field Activity (Navy)|
P309885 MTT NPS CORE LAB Mobile Basic SNA 1.
MTT NPS CORE LAB MOBILE BASIC SNA I Participants can receive Level 1 certification by attending and completing the 3?5 day course that introduces them to basic SNA theory and analytical techniques to include collecting relational data using the Lighthouse field collection platform. This introductory curriculum exposes attendees to basic SNA topics through theory and hands?on labs and exercises, including data visualization, centrality measures, network topography, brokers and bridges, and cohesive subgroups. Participants will leave the training with an understanding of relational data collection along with basic knowledge of SNA terms and concepts and a basic familiarity of the SNA software package, the Organizational Risk Analyzer (ORA). Participants are required to complete a final exercise in order to receive Level 1 certification. This educational outreach course is conducted in a mobile training team format. Location will require electricity, access to the Internet, presentation display ability (projection screen or TV screen). Class is limited to 20 students. Students need to be English speakers or an interpreter needs to be provided.
By the end of this short course, participants will have obtained a functional understanding of social network analysis. Students who successfully complete this course will attain the following by the end of the course:
1. The ability to structure network data sets.
2. Critical thinking skills about network data.
3. An understanding of appropriate uses of network data visualization techniques for analytic, presentation, and dissemination purposes.
4. The ability to identify new tools and technologies that will facilitate network, data-driven analysis to inform decision-making.
5. A better consumer and producer of network, data-driven products.
|Publications||Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal|
|Data||Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal|