Network analysis allows for the modeling of connections between people, places, concepts, and entities in nearly any field of study. We can visualize, describe, and even predict these connections by treating them as data through the use of widely available and free tools.
This workshop will introduce participants to the field of network analysis, with an emphasis on its use for data-driven humanities research. Upon completion of the workshop, participants will be familiar with important concepts and trends in network analysis, be able to construct a basic network from a spreadsheet, run common network analytics, and visualize the results using both their own machines and UCLA high performance computing resources. No prior knowledge of network analysis or programming is required or expected.

Instructor: Ryan Horne

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