Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation

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

Book details

Edition:

1st ed. 2020

Series:

Lecture Notes in Social Networks

Author:

Mehmet Kaya, Şuayip Birinci, Jalal Kawash, Reda Alhajj

ISBN:

9783030336981

Related ISBNs:

9783030336974

Publisher:

Springer International Publishing

Pages:

N/A

Reading age:

Not specified

Includes images:

Yes

Date of addition:

2020-02-21

Usage restrictions:

Copyright

Copyright date:

2020

Copyright by:

Springer Nature Switzerland AG 

Adult content:

No

Language:

English

Categories:

Business and Finance, Computers and Internet, Nonfiction, Science, Social Studies