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Diffusion in social networks

Shakarian, Paulo.

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Diffusion in social networks

Record Type:	Electronic resources : Monograph/item
Title/Author:	Diffusion in social networks/ by Paulo Shakarian ... [et al.].
other author:	Shakarian, Paulo.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xi, 101 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Diffusion processes. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-23105-1
ISBN:	9783319231051

Diffusion in social networks
Diffusion in social networks[electronic resource] /by Paulo Shakarian ... [et al.]. - Cham :Springer International Publishing :2015. - xi, 101 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in computer science,2191-5768. - SpringerBriefs in computer science..

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.

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.

ISBN: 9783319231051

Standard No.: 10.1007/978-3-319-23105-1doiSubjects--Topical Terms:

648159
Diffusion processes.

LC Class. No.: QA274.25

Dewey Class. No.: 519.233

Diffusion in social networks
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245 0 0 $a Diffusion in social networks $h [electronic resource] / $c by Paulo Shakarian ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xi, 101 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a SpringerBriefs in computer science, $x 2191-5768
505 0 $a 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.
520 $a 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.
650 0 $a Diffusion processes. $3 648159
650 0 $a Social networks $x Mathematical models. $3 598894
650 0 $a Social networks $x Computer simulation. $3 2162405
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
650 2 4 $a Data Encryption. $3 891254
700 1 $a Shakarian, Paulo. $3 2045829
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830 0 $a SpringerBriefs in computer science. $3 1567571
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-23105-1
950 $a Computer Science (Springer-11645)