Hybrid Intelligence for Social Networks

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Éditeur :

Springer


Paru le : 2017-11-28

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Description

This book explains aspects of social networks, varying from development and application of new artificial intelligence and computational intelligence techniques for social networks to understanding the impact of social networks. Chapters 1 and 2 deal with the basic strategies towards social networks such as mining text from such networks and applying social network metrics using a hybrid approach; Chaps. 3 to 8 focus on the prime research areas in social networks: community detection, influence maximization and opinion mining. Chapter 9 to 13 concentrate on studying the impact and use of social networks in society, primarily in education, commerce, and crowd sourcing. 
The contributions provide a multidimensional approach, and the book will serve graduate students and researchers as a reference in computer science, electronics engineering, communications, and information technology. 
Pages
327 pages
Collection
n.c
Parution
2017-11-28
Marque
Springer
EAN papier
9783319651385
EAN PDF
9783319651392

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
32
Taille du fichier
10629 Ko
Prix
94,94 €
EAN EPUB
9783319651392

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
32
Taille du fichier
6646 Ko
Prix
94,94 €

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