Diffusion in Social Networks

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Éditeur :

Springer


Collection :

SpringerBriefs in Computer Science

Paru le : 2015-09-16

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Description
This book presents the leading models of social network diffusion that are used to demonstrate the spread of disease, ideas, and behavior. It introduces diffusion models from the fields of computer science (independent cascade and linear threshold), sociology (tipping models), physics (voter models), biology (evolutionary models), and epidemiology (SIR/SIS and related models). A variety of properties and problems related to these models are discussed including identifying seeds sets to initiate diffusion, game theoretic problems, predicting diffusion events, and more. The book explores numerous connections between social network diffusion research and artificial intelligence through topics such as agent-based modeling, logic programming, game theory, learning, and data mining. The book also surveys key empirical results in social network diffusion, and reviews the classic and cutting-edge research with a focus on open problems.
Pages
101 pages
Collection
SpringerBriefs in Computer Science
Parution
2015-09-16
Marque
Springer
EAN papier
9783319231044
EAN PDF
9783319231051

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
3748 Ko
Prix
52,74 €
EAN EPUB
9783319231051

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
1413 Ko
Prix
52,74 €