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Books > Computing & IT > Applications of computing > Artificial intelligence
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Diffusion in Social Networks (Paperback, 1st ed. 2015)
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Diffusion in Social Networks (Paperback, 1st ed. 2015)
Series: SpringerBriefs in Computer Science
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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.
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