How do ideas spread? How are communities connected? Network Analysis for the Humanities and Social Sciences introduces students from all disciplines to the science of networks—the hidden structures of complex systems. Through engaging lectures, real-world case studies, and hands-on labs, students learn to collect, visualize, and analyze network data using accessible digital tools. Examples drawn from literature, history, politics, and language reveal how network thinking can uncover hidden patterns, trace influence, and model complex social phenomena. Students also develop critical perspectives on the possibilities and limits of data-driven interpretation. The course culminates in an original network study on a topic of the student’s choosing, building transferable skills in data literacy, visual storytelling, and analytical thinking.