Putting social media and networking data in practice for education, planning, prediction and recommendation

• 其他作者：
  • Kaya, Mehmet, editor.
  • Birinci, Suayip, editor.
  • Kawash, Jalal, editor.
  • Alhajj, Reda, editor.
  • SpringerLink (Online service)
• 其他題名：
  • Lecture notes in social networks.
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 叢書名： Lecture notes in social networks,
• 主題： Online social networks. , Data-driven Science, Modeling and Theory Building. , Computational Social Sciences. , Big Data/Analytics. , Computer Appl. in Social and Behavioral Sciences.
• ISBN： 9783030336981 (electronic bk.) 、 9783030336974 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
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• 摘要註: 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.
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