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Apr 20, 2024
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ITOM 6219 - Predictive Modeling with Web and Social Media Data
Credits: 2
Focuses on social network analysis, including how and why networks form, how network structure impacts platform and product strategies, and how innovation diffuses in such networks. Explores text and data mining, including how to interpret structured, semi-structured, and unstructured user generated content. Discusses web analytics, including what metric to use while measuring a platform’s performance in web and social media and how to address challenges such as the attribution problem. Covers the use of analytic tools such as NodeXL, SAS (Text Miner, Sentiment Analyzer), R, Python, and Google Analytics to model, visualize, and understand such network data. Prerequisite: ITOM 6202 or enrollment in M.S.B.A. Program.
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