User Community Discovery

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Éditeur :

Springer


Collection :

Human–Computer Interaction Series

Paru le : 2015-10-28

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Description

This  book redefines community discovery  in the new world of Online Social Networks and Web 2.0 applications, through real-world problems and applications in the context of the Web, pointing out the current and future challenges of the field.
Particular emphasis is placed on the issues of community representation, efficiency and scalability, detection of communities in hypergraphs, such as multi-mode and multi-relational networks, characterization of social media communities and online privacy aspects of online communities.
User Community Discovery is for computer scientists, data scientists, social scientists and complex systems researchers, as well as students within these disciplines, while the connections to real-world problem settings and applications makes the book appealing for engineers and practitioners in the industry, in particular those interested in the highly attractive fields of data science and big data analytics.
Pages
155 pages
Collection
Human–Computer Interaction Series
Parution
2015-10-28
Marque
Springer
EAN papier
9783319238340
EAN PDF
9783319238357

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
15
Taille du fichier
3748 Ko
Prix
52,74 €
EAN EPUB
9783319238357

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
15
Taille du fichier
1546 Ko
Prix
52,74 €