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Complex Spreading Phenomena in Social Systems

Influence and Contagion in Real-World Social Networks

  • Sune Lehmann
  • Yong-Yeol Ahn

Part of the Computational Social Sciences book series (CSS)

Table of contents

  1. Front Matter
    Pages i-vi
  2. Introduction to Spreading in Social Systems

  3. Models and Theories

    1. Front Matter
      Pages 65-65
    2. James P. Gleeson, Mason A. Porter
      Pages 81-95
    3. Azadeh Nematzadeh, Nathaniel Rodriguez, Alessandro Flammini, Yong-Yeol Ahn
      Pages 97-107
    4. Sen Pei, Flaviano Morone, Hernán A. Makse
      Pages 125-148
  4. Observational Studies

    1. Front Matter
      Pages 149-149
    2. Gerardo Iñiguez, Zhongyuan Ruan, Kimmo Kaski, János Kertész, Márton Karsai
      Pages 151-175
    3. Fabiana Zollo, Walter Quattrociocchi
      Pages 177-196
    4. Pik-Mai Hui, Lilian Weng, Alireza Sahami Shirazi, Yong-Yeol Ahn, Filippo Menczer
      Pages 197-211
    5. Lilian Weng, Márton Karsai, Nicola Perra, Filippo Menczer, Alessandro Flammini
      Pages 213-228
  5. Controlled Studies

    1. Front Matter
      Pages 287-287
    2. Yan Leng, Xiaowen Dong, Esteban Moro, Alex ‘Sandy’ Pentland
      Pages 323-333
    3. Robert M. Bond, Christopher J. Fariss, Jason J. Jones, Jaime E. Settle
      Pages 335-350
    4. Sune Lehmann, Yong-Yeol Ahn
      Pages 351-358
  6. Back Matter
    Pages 359-361

About this book

Introduction

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.

Keywords

influence spreading complex contagion spreading in social systems epidemic and social spreading spreading and homophily modeling complex contagion Predicting viral memes Spreading of health behaviours

Editors and affiliations

  • Sune Lehmann
    • 1
  • Yong-Yeol Ahn
    • 2
  1. 1.Technical University of DenmarkLyngbyDenmark
  2. 2.Indiana UniversityBloomingtonUSA

Bibliographic information

  • 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
  • Print ISBN 978-3-319-77331-5
  • Online ISBN 978-3-319-77332-2
  • Series Print ISSN 2509-9574
  • Series Online ISSN 2509-9582
  • Buy this book on publisher's site