Table of contents
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.
Editors and affiliations
- Book Title Complex Spreading Phenomena in Social Systems
- Book Subtitle Influence and Contagion in Real-World Social Networks
- Series Title Computational Social Sciences
- Series Abbreviated Title Comp. Soc. Sci.
- DOI https://doi.org/10.1007/978-3-319-77332-2
- Copyright Information Springer International Publishing AG, part of Springer Nature 2018
- Publisher Name Springer, Cham
- eBook Packages Physics and Astronomy Physics and Astronomy (R0)
- Hardcover ISBN 978-3-319-77331-5
- Softcover ISBN 978-3-030-08430-1
- eBook ISBN 978-3-319-77332-2
- Series ISSN 2509-9574
- Series E-ISSN 2509-9582
- Edition Number 1
- Number of Pages VI, 361
- Number of Illustrations 23 b/w illustrations, 81 illustrations in colour
Applications of Graph Theory and Complex Networks
Data Mining and Knowledge Discovery
Methodology of the Social Sciences
Simulation and Modeling
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