Next Generation of Dynamic Network Analysts
Abstract
Next Generation of Dynamic Network Analysts Today network analysis is considered part of the area of data science, and is taught at the graduate level in many US universities. Despite the growth in this area, it is still the case that network analysis Ð either in the guise of social networks or network science - is taught in only the minority of universities. Network science itself is changing. Many advances now are based on combining the network approach with other methods; e.g. natural language processing plus social networks has led to improved understanding of ÒtalkÓ in semantic networks, and machine learning plus social networks has led to improved ability to identify bots and disinformation campaigns. Most programs teaching network science focus on the more traditional approach to networks Ð one mode, one time period, one type of link. This proposal is to build the next generation of network scientists, by providing broader training opportunities and providing training in networks+, i.e., the advanced techniques that combine network analysis with geo-spatial analytics, social media analytics, natural language processing and machine learning. Key words: Network science, Social Network Analysis, Data Science
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- May 28, 2019
- Source ID
- W911NF1910307
Entities
People
- Kathleen Carley
Organizations
- Army Contracting Command
- Massachusetts Institute of Technology
- United States Army