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Network Analysis

Subject code


Course Number



C. Diaz-Eaton, A. Shrout

Course Long Title

Network Analysis


Networks are everywhere. They describe how people, organisms, and ideas connect and interact. Studying networks reveals patterns, systems, and frameworks that are, in many cases, otherwise invisible. This course introduces network analysis as a tool that offers insights into the construction of social, biological, and information systems. It scaffolds the terminology and theoretical underpinnings of network science. It also introduces the data wrangling, qualitative analysis, quantitative analysis, critical analysis, and data visualization tools that often accompany the studies of networks. Prerequisite(s): DCS 204. Recommended background: Prior coursework in critical digital studies and R programming, data cleaning, and/or significant programming experience.

Modes of Inquiry

Scientific Reasoning [SR]

Writing Credit

No writing credit

Departmental Course Attributes - Major/Minor Requirements

(DCS: Critical Digital St.), (DCS: Programming & Theory), (DCS: Praxis)

INDS Program Relationship

IDDC - DCA Program

Class Restriction

Exclude First Years