DATA504

Active

Covers networks and their visualization, including weighted and directed networks. Discusses important network measures such as centrality, transitivity, and reciprocity. Applications focus on technology, information systems, and social settings, including the internet, the World Wide Web, and social media. In addition, covers text mining topics including principal phrase mining. Students have the opportunity to learn how to do this using the R language in the R-studio environment. Topics include networks and their representation, adjacency matrices, weighted and directed networks, bipartite networks, trees, degree, walks and paths, components, centrality, transitivity, reciprocity, similarity, homophily and assortative mixing, text mining and principal phrases.

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