Advertisement

Diffusion in Social Networks

  • Paulo Shakarian
  • Abhivav Bhatnagar
  • Ashkan Aleali
  • Elham Shaabani
  • Ruocheng Guo

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Paulo Shakarian, Abhinav Bhatnagar, Ashkan Aleali, Elham Shaabani, Ruocheng Guo
    Pages 1-2
  3. Paulo Shakarian, Abhinav Bhatnagar, Ashkan Aleali, Elham Shaabani, Ruocheng Guo
    Pages 3-18
  4. Paulo Shakarian, Abhinav Bhatnagar, Ashkan Aleali, Elham Shaabani, Ruocheng Guo
    Pages 19-33
  5. Paulo Shakarian, Abhinav Bhatnagar, Ashkan Aleali, Elham Shaabani, Ruocheng Guo
    Pages 35-48
  6. Paulo Shakarian, Abhinav Bhatnagar, Ashkan Aleali, Elham Shaabani, Ruocheng Guo
    Pages 49-73
  7. Paulo Shakarian, Abhinav Bhatnagar, Ashkan Aleali, Elham Shaabani, Ruocheng Guo
    Pages 75-91
  8. Paulo Shakarian, Abhinav Bhatnagar, Ashkan Aleali, Elham Shaabani, Ruocheng Guo
    Pages 93-100
  9. Paulo Shakarian, Abhinav Bhatnagar, Ashkan Aleali, Elham Shaabani, Ruocheng Guo
    Pages 101-101

About this book

Introduction

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.

Keywords

artificial intelligence diffusion influence network science social networks

Authors and affiliations

  • Paulo Shakarian
    • 1
  • Abhivav Bhatnagar
    • 2
  • Ashkan Aleali
    • 3
  • Elham Shaabani
    • 4
  • Ruocheng Guo
    • 5
  1. 1.School of Computing, Informatics and Decision Systems EngineeringArizona State UniversityTempeUSA
  2. 2.Arizona State UniversityTempeUSA
  3. 3.Arizona State UniversityTempeUSA
  4. 4.Arizona State UniversityTempeUSA
  5. 5.Arizona State UniversityTempeUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-23105-1
  • Copyright Information The Author(s) 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-23104-4
  • Online ISBN 978-3-319-23105-1
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • Buy this book on publisher's site