Can I read Diffusion in Social Networks (SpringerBriefs in Computer Science) on EtoBox?

Diffusion in Social Networks (SpringerBriefs in Computer Science) by Paulo Shakarian, Abhivav Bhatnagar, Ashkan Aleali, Elham Shaabani, Ruocheng Guo (auth.) is a nonfiction available to read on EtoBox.

What is Diffusion in Social Networks (SpringerBriefs in Computer Science) about?

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. 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 Diffu

Who reads Diffusion in Social Networks (SpringerBriefs in Computer Science)?

Author

Paulo Shakarian, Abhivav Bhatnagar, Ashkan Aleali, Elham Shaabani, Ruocheng Guo (auth.)

Publisher

Springer International Publishing : Imprint: Springer

Published

2015

Language

EN

ISBN

9783319231068

Category

nonfiction

Subjects

Computer Science, Mathematics, Networking