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Diffusion in Social Networks

By: Paulo Shakarian,Abhivav Bhatnagar,Ashkan Aleali,Elham Shaabani,Ruocheng Guo

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Diffusion in Social Networks

By: Paulo Shakarian,Abhivav Bhatnagar,Ashkan Aleali,Elham Shaabani,Ruocheng Guo

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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Page Count

110

Publisher

Springer

Published Date

ISBN 10

3319231057

ISBN 13

9783319231051

Diffusion in Social Networks

By: Paulo Shakarian,Abhivav Bhatnagar,Ashkan Aleali,Elham Shaabani,Ruocheng Guo

Write a review Read reviews Take a Quiz Solve Book Puzzle

Diffusion in Social Networks

By: Paulo Shakarian,Abhivav Bhatnagar,Ashkan Aleali,Elham Shaabani,Ruocheng Guo

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.

Average ratings

N/A

5

0%

4

0%

3

0%

2

0%

1

0%

Solve jigsaw puzzle

Age

Page Count

110

Publisher

Springer

Published Date

ISBN 10

3319231057

ISBN 13

9783319231051