Diffusion in Social Networks
Published on 16. September 2015
XI, 101 pages
978-3-319-23105-1 (ISBN)
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.
More details
Series
Edition
1st ed. 2015
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XI, 101 p. 28 illus., 24 illus. in color.
File size
3,75 MB
ISBN-13
978-3-319-23105-1 (9783319231051)
DOI
10.1007/978-3-319-23105-1
Schweitzer Classification
Other editions
Additional editions
Paulo Shakarian | Abhivav Bhatnagar | Ashkan Aleali
Diffusion in Social Networks
Book
09/2015
Springer
€53.49
Shipment within 10-15 days
Content
Introduction.- The SIR Model and Identification of Spreaders.- The Tipping Model and the Minimum Seed Problem.- The Independent Cascade and Linear Threshold Models.- Logic Programming Based Diffusion Models.- Evolutionary Graph Theory.- Examining Diffusion in the Real World.- Conclusion.
