DA4600 Dark, Light, and Gray Networks
This course focuses on the analysis of dark, light, and gray networks. It consists of four sections. The first introduces the assumptions, concepts, and terms of social network analysis (SNA). The second covers how to record and manipulate social network data: the basics of social network analysis. The third focuses on five different SNA “families” of metrics and/or algorithms: (1) network topography, (2) cohesive subgroups, (3) centrality, power, and prestige, (4) brokers and bridges, and (5) longitudinal networks. (We may also have time to explore two types of computational text mining: (a) semantic network analysis and (b) topic modeling.) The fourth and final section focuses on intervention. Drawing on your analysis, you will develop three strategic approaches: either to disrupt, destabilize, or dismantle a dark network, or to strengthen and enhance the robustness of a light network.
Lecture Hours
4
Lab Hours
0