Prediction and Inference from Social Networks and Social Media

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Éditeur :

Springer


Collection :

Lecture Notes in Social Networks

Paru le : 2017-03-16

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Description

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.
Pages
225 pages
Collection
Lecture Notes in Social Networks
Parution
2017-03-16
Marque
Springer
EAN papier
9783319510484
EAN PDF
9783319510491

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
6666 Ko
Prix
94,94 €
EAN EPUB
9783319510491

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
3011 Ko
Prix
94,94 €