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040 _aOCoLC-P
_beng
_cOCoLC-P
020 _a9780429558870
_q(electronic bk.)
020 _a0429558872
_q(electronic bk.)
020 _a9780429263842
_q(electronic bk.)
020 _a0429263848
_q(electronic bk.)
020 _a9780429554407
_q(electronic bk. : PDF)
020 _a0429554400
_q(electronic bk. : PDF)
020 _a9780429563348
_q(electronic bk. : Mobipocket)
020 _a0429563345
_q(electronic bk. : Mobipocket)
020 _z0367208717
020 _z9780367208714
035 _a(OCoLC)1242026706
035 _a(OCoLC-P)1242026706
050 4 _aHM742
072 7 _aCOM
_x043000
_2bisacsh
072 7 _aTEC
_x007000
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072 7 _aTEC
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072 7 _aUT
_2bicssc
082 0 4 _a302.231015118
_223
100 1 _aMuhlmeyer, Michael.
245 1 0 _aINFORMATION SPREAD IN A SOCIAL MEDIA AGE
_h[electronic resource] :
_bmodeling and control.
260 _a[S.l.] :
_bCRC PRESS,
_c2021.
300 _a1 online resource
520 _aThe 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.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aSocial media
_xMathematical models.
650 0 _aOnline social networks
_xMathematical models.
650 0 _aInformation technology
_xMathematical models.
650 0 _aDisinformation
_xPrevention.
650 7 _aCOMPUTERS / Networking / General
_2bisacsh
650 7 _aTECHNOLOGY / Electricity
_2bisacsh
700 1 _aAgarwal, Shaurya.
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9780429263842
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c130332
_d130332