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Books > Computing & IT > Computer communications & networking
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Information Spread in a Social Media Age - Modeling and Control (Hardcover)
Loot Price: R3,285
Discovery Miles 32 850
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Information Spread in a Social Media Age - Modeling and Control (Hardcover)
Expected to ship within 9 - 15 working days
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The rise of social networks and social media has led to a massive
shift in the ways information is dispersed. Platforms like Twitter
and Facebook allow people to more easily connect as a community,
but they can also be avenues for misinformation, fake news, and
polarization. The need to examine, model, and analyze the
trajectory of information spread within this new paradigm has never
been greater. This text expands upon the authors' combined teaching
experience, engineering knowledge, and multiple academic journal
publications on these topics to present an intuitive and easy to
understand exploration of social media information spread alongside
the technical and mathematical concepts. By design, this book uses
simple language and accessible and modern case studies (including
those centered around United States mass shootings, the #MeToo
social movement, and more) to ensure it is accessible to the casual
reader. At the same time, readers with prior knowledge of the
topics will benefit from the mathematical model and control
elements and accompanying sample simulation code for each main
topic. By reading this book and working through the included
exercises, readers will gain 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. The
book then presents novel models developed by the authors to account
for modern social media concerns such as community filter bubbles,
strongly polarized groups, and contentious information spread.
Readers will learn how to build and execute simple case studies
using Twitter data to help verify the text's proposed models. Once
the reader is armed with a fundamental understanding of
mathematical modeling and social media-based system considerations,
the book introduces more complex engineering control concepts,
including controller design, PID control, and optimal control.
Examples of control methods for social campaigns and misinformation
mitigation applications are covered in a step-by-step format from
problem formulation to solution simulation and results discussions.
While many of the examples and methods are framed in the context of
controlling social media information spread, the material is also
directly applicable to many different types of controllable
systems. With the essential background, models, and tools presented
within, any interested reader can take the first steps toward
exploring and taming the growing complexity of the modern social
media age.
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