Computational Social Sciences

Complex Spreading Phenomena in Social Systems

Influence and Contagion in Real-World Social Networks

Editors: Lehmann, Sune, Ahn, Yong-Yeol (Eds.)

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  • Contains for the first time in a single volume, chapters that take the reader from novice to expert on spreading processes in social systems
  • Uniquely emphasizes a data-driven approach to the problem of complex contagion
  • Includes numerous chapters on spreading in systems ranging from online social networks to large-scale measurements of face-to-face interactions
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  • ISBN 978-3-319-77332-2
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Hardcover $169.99
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  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: June 22, 2018
  • ISBN 978-3-319-77331-5
  • Free shipping for individuals worldwide. Please be advised Covid-19 shipping restrictions apply. Please review prior to ordering
  • Usually ready to be dispatched within 3 to 5 business days
Softcover $119.99
price for USA in USD
About this book

This text is about spreading of information and influence in complex networks. Although previously considered similar and modeled in parallel approaches, there is now experimental evidence that epidemic and social spreading work in subtly different ways. While previously explored through modeling, there is currently an explosion of work on revealing the mechanisms underlying complex contagion based on big data and data-driven approaches.

This volume consists of four parts. Part 1 is an Introduction, providing an accessible summary of the state of the art. Part 2 provides an overview of the central theoretical developments in the field. Part 3 describes the empirical work on observing spreading processes in real-world networks. Finally, Part 4 goes into detail with recent and exciting new developments: dedicated studies designed to measure specific aspects of the spreading processes, often using randomized control trials to isolate the network effect from confounders, such as homophily.

Each contribution is authored by leading experts in the field. This volume, though based on technical selections of the most important results on complex spreading, remains quite accessible to the newly interested. The main benefit to the reader is that the topics are carefully structured to take the novice to the level of expert on the topic of social spreading processes. This book will be of great importance to a wide field: from researchers in physics, computer science, and sociology to professionals in public policy and public health.

About the authors

Sune Lehmann is an associate professor at the Technical University of Denmark, an adjunct (full) professor at the University of Copenhagen’s Department of Sociology, and and adjunct associate professor at the Niels Bohr Institute for Theoretical Physics. He’s also associate director of the interdisciplinary "Center for Social Data Science" at the University of Copenhagen. In addition to publishing in top interdisciplinary journals, Prof Lehmann’s work on spreading processes —  including spreading in both biological and social domains — has received world-wide press coverage.
Yong-Yeol (YY) Ahn is an assistant professor at Indiana University School of Informatics, Computing, and Engineering. He worked as a postdoctoral research associate at the Center for Complex Network Research at Northeastern University and as a visiting researcher at the Center for Cancer Systems Biology at Dana-Farber Cancer Institute after earning his PhD in Statistical Physics from KAIST in 2008. He has made contributions in a variety of areas including the study of network community structure, information diffusion, and culture. He is a recipient of several awards, including the Microsoft Research Faculty Fellowship and the LinkedIn Economic Graph Challenge.

Table of contents (19 chapters)

Table of contents (19 chapters)
  • Complex Contagions: A Decade in Review

    Pages 3-25

    Guilbeault, Douglas (et al.)

  • A Simple Person’s Approach to Understanding the Contagion Condition for Spreading Processes on Generalized Random Networks

    Pages 27-45

    Dodds, Peter Sheridan

  • Challenges to Estimating Contagion Effects from Observational Data

    Pages 47-64

    Ogburn, Elizabeth L.

  • Slightly Generalized Contagion: Unifying Simple Models of Biological and Social Spreading

    Pages 67-80

    Dodds, Peter Sheridan

  • Message-Passing Methods for Complex Contagions

    Pages 81-95

    Gleeson, James P. (et al.)

Buy this book

eBook $89.00
price for USA in USD
  • ISBN 978-3-319-77332-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • Immediate eBook download after purchase and usable on all devices
  • Bulk discounts available
Hardcover $169.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: June 22, 2018
  • ISBN 978-3-319-77331-5
  • Free shipping for individuals worldwide. Please be advised Covid-19 shipping restrictions apply. Please review prior to ordering
  • Usually ready to be dispatched within 3 to 5 business days
Softcover $119.99
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Complex Spreading Phenomena in Social Systems
Book Subtitle
Influence and Contagion in Real-World Social Networks
Editors
  • Sune Lehmann
  • Yong-Yeol Ahn
Series Title
Computational Social Sciences
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG, part of Springer Nature
eBook ISBN
978-3-319-77332-2
DOI
10.1007/978-3-319-77332-2
Hardcover ISBN
978-3-319-77331-5
Softcover ISBN
978-3-030-08430-1
Series ISSN
2509-9574
Edition Number
1
Number of Pages
VI, 361
Number of Illustrations
23 b/w illustrations, 81 illustrations in colour
Topics