Title Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation Author(s) Kaya, Mehmet;Birinci, ??uayip;Kawash, Jalal;Alhajj, Reda Publication Cham, Springer International Publishing, 2020. Description XIII, 237 p. 68 illus., 51 illus. in color : online resource Abstract Note This book focusses on recommendation, behavior, and anomaly, among of social media analysis. First, recommendation is vital for a variety of applications to narrow down the search space and to better guide people towards educated and personalized alternatives. In this context, the book covers supporting students, food venue, friend and paper recommendation to demonstrate the power of social media data analysis. Secondly, this book treats behavior analysis and understanding as important for a variety of applications, including inspiring behavior from discussion platforms, determining user choices, detecting following patterns, crowd behavior modeling for emergency evacuation, tracking community structure, etc. Third, fraud and anomaly detection have been well tackled based on social media analysis. This has is illustrated in this book by identifying anomalous nodes in a network, chasing undetected fraud processes, discovering hidden knowledge, detecting clickbait, etc. With this wide coverage, the book forms a good source for practitioners and researchers, including instructors and students ISBN,Price 9783030336981 Keyword(s) 1. APPLICATION SOFTWARE 2. Big data 3. BIG DATA ANALYTICS 4. Computational Social Sciences 5. Computer Appl. in Social and Behavioral Sciences 6. Data-driven Science, Modeling and Theory Building 7. EBOOK 8. EBOOK - SPRINGER 9. ECONOPHYSICS 10. Social sciences???Computer programs 11. Social sciences???Data processing 12. Sociophysics Item Type eBook Multi-Media Links Please Click here for eBook Circulation Data Accession#   Call# Status Issued To Return Due On Physical Location I08706     On Shelf