Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation (Lecture Notes in Social Networks) - Softcover

Softcover

ISBN 10: 3030337006 ISBN 13: 9783030337001

Publisher: Springer, 2020

Synopsis

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 widecoverage, the book forms a good source for practitioners and researchers, including instructors and students.

About this title

From the Back Cover

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.

Edition details

• Publisher: Springer
• Publication date: 2020
• Language: English
• ISBN 10: 3030337006
• ISBN 13: 9783030337001
• Binding: Paperback
• Edition number: 1
• Number of pages: 250
• Editor: Kaya Mehmet, Birinci Şuayip, Kawash Jalal, Alhajj Reda