Prediction and Inference from Social Networks and Social Media (Lecture Notes in Social Networks) - Hardcover

Buch 22 von 45: Lecture Notes in Social Networks
 
9783319510484: Prediction and Inference from Social Networks and Social Media (Lecture Notes in Social Networks)
Hardcover
ISBN 10: 3319510487 ISBN 13: 9783319510484
Verlag: Springer, 2017

Inhaltsangabe

This book addresses the challenges of social network and social media analysis in terms of prediction and inference. The chapters collected here tackle these issues by proposing new analysis methods and by examining mining methods for the vast amount of social content produced. Social Networks (SNs) have become an integral part of our lives; they are used for leisure, business, government, medical, educational purposes and have attracted billions of users. The challenges that stem from this wide adoption of SNs are vast. These include generating realistic social network topologies, awareness of user activities, topic and trend generation, estimation of user attributes from their social content, and behavior detection. This text has applications to widely used platforms such as Twitter and Facebook and appeals to students, researchers, and professionals in the field.

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Von der hinteren Coverseite

This book addresses the challenges of social network and social media analysis in terms of prediction and inference. The chapters collected here tackle these issues by proposing new analysis methods and by examining mining methods for the vast amount of social content produced. Social Networks (SNs) have become an integral part of our lives; they are used for leisure, business, government, medical, educational purposes and have attracted billions of users. The challenges that stem from this wide adoption of SNs are vast. These include generating realistic social network topologies, awareness of user activities, topic and trend generation, estimation of user attributes from their social content, and behavior detection. This text has applications to widely used platforms such as Twitter and Facebook and appeals to students, researchers, and professionals in the field.

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Verlag
Springer
Erscheinungsdatum
2017
Sprache
Englisch
ISBN 10 
3319510487
ISBN 13 
9783319510484
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
234
Herausgeber
Kawash Jalal, Agarwal Nitin, Özyer Tansel
Kontakt zum Hersteller
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Deutschland

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Vorgestellte Ausgabe

ISBN 10:  3319845535 ISBN 13:  9783319845531
Verlag: Springer, 2018
Softcover