STAT260

Covers networks and their visualization, including weighted and directed networks. Important network measures such as centrality, transitivity, and reciprocity are discussed. Benefits of clustering will also be covered. Focuses on applications from technology, information systems, and social settings, including the World Wide Web and social media. Investigates text mining topics including sensitivity analysis and principal phrase mining. Provides the theoretical and practical framework for extracting the most important words and/or meaningful phrases from large bodies of text, then visualizing and clustering them according to the frequency with which they appear.