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

Buch 39 von 45: Lecture Notes in Social Networks
 
9783030337001: Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation (Lecture Notes in Social Networks)
Softcover
ISBN 10: 3030337006 ISBN 13: 9783030337001
Verlag: Springer, 2020

Inhaltsangabe

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.

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Von der hinteren Coverseite

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.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2020
Sprache
Englisch
ISBN 10 
3030337006
ISBN 13 
9783030337001
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
252
Herausgeber
Kaya Mehmet, Birinci Şuayip, Kawash Jalal, Alhajj Reda
Kontakt zum Hersteller
ProductSafety@springernature.com
ProductSafety@springernature.com

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Darmstadt
64293
Deutschland

Weitere beliebte Ausgaben desselben Titels

9783030336974: Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation (Lecture Notes in Social Networks)

Vorgestellte Ausgabe

ISBN 10:  3030336972 ISBN 13:  9783030336974
Verlag: Springer, 2019
Hardcover