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The book provides a general understanding of modern social media systems, network fundamentals, model development techniques, and social marketing. The mathematical modeling of information spread over social media is heavily emphasized through a review of existing epidemiology and marketing based models.
List of contents
1. Introduction. I Understanding Social Networking Systems. 2. Social Media in Popular Culture. 3. Social Theory and Networks. 4. Social Network Relationships and Structures. 5. Social Network Analysis. II Macroscopic Modeling and Information Spread. 6 Modeling Basics. 7. Epidemiology-Based Models for Information Spread. 8. Stochastic Modeling of Information Spread. 9. Social Marketing-Based Models for Information Spread.10 Case Studies. III Control Methods For Information Spread. 11. Control Basics. 12 Control Methods. 13. Information Spread and Control. 14. Control Application 1: Advertisements and Social Crazes. 15. Control Application 2: Stopping a Fake News Outbreak. 16. Concluding Thoughts.
About the author
Michael Muhlmeyer provides engineering consulting services at Sabre Engineering Consulting in Los Angeles, CA. His areas of interest include mathematical modeling, control systems, computational social systems, information spread on social media, fake news, and novel applications of engineering to multidisciplinary research.
Shaurya Agarwal is currently an Assistant Professor in the Civil, Environmental, and Construction Engineering Department at the University of Central Florida. His research focuses on interdisciplinary areas of cyber-physical systems, smart and connected communities, and socio-technical-infrastructures systems.
Summary
The book provides a general understanding of modern social media systems, network fundamentals, model development techniques, and social marketing. The mathematical modeling of information spread over social media is heavily emphasized through a review of existing epidemiology and marketing based models.
