Prediction and Inference from Social Networks and Social Media

Author:   Jalal Kawash ,  Nitin Agarwal ,  Tansel Özyer
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2017
ISBN:  

9783319510484


Pages:   225
Publication Date:   18 March 2017
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Prediction and Inference from Social Networks and Social Media


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Overview

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.

Full Product Details

Author:   Jalal Kawash ,  Nitin Agarwal ,  Tansel Özyer
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2017
Dimensions:   Width: 15.50cm , Height: 1.40cm , Length: 23.50cm
Weight:   4.794kg
ISBN:  

9783319510484


ISBN 10:   3319510487
Pages:   225
Publication Date:   18 March 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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