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Spreading in Social Systems: Reflections

  • Sune Lehmann
  • Yong-Yeol Ahn
Chapter
Part of the Computational Social Sciences book series (CSS)

Abstract

In this final chapter, we consider the state-of-the-art for spreading in social systems and discuss the future of the field. As part of this reflection, we identify a set of key challenges ahead. The challenges include the following questions: how can we improve the quality, quantity, extent, and accessibility of datasets? How can we extract more information from limited datasets? How can we take individual cognition and decision-making processes into account? How can we incorporate other complexity of the real contagion processes? Finally, how can we translate research into positive real-world impact? In the following, we provide more context for each of these open questions.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Technical University of DenmarkLyngbyDenmark
  2. 2.Indiana UniversityBloomingtonUSA

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