About this book series

A series of authored and edited monographs that utilize quantitative and computational methods to model, analyze and interpret large-scale social phenomena. Titles within the series contain methods and practices that test and develop theories of complex social processes through bottom-up modeling of social interactions. Of particular interest is the study of the co-evolution of modern communication technology and social behavior and norms, in connection with emerging issues such as trust, risk, security and privacy in novel socio-technical environments.

Computational Social Sciences is explicitly transdisciplinary: quantitative methods from fields such as dynamical systems, artificial intelligence, network theory, agent-based modeling, and statistical mechanics are invoked and combined with state-of-the-art mining and analysis of large data sets to help us understand social agents, their interactions on and offline, and the effect of these interactions at the macro level. Topics include, but are not limited to social networks and media, dynamics of opinions, cultures and conflicts, socio-technical co-evolution and social psychology. Computational Social Sciences will also publish monographs and selected edited contributions from specialized conferences and workshops specifically aimed at communicating new findings to a large transdisciplinary audience. A fundamental goal of the series is to provide a single forum within which commonalities and differences in the workings of this field may be discerned, hence leading to deeper insight and understanding.
This book series contains subseries
View subseries
Electronic ISSN
2509-9582
Print ISSN
2509-9574
Series Editor
  • Elisa Bertino,
  • Claudio Cioffi-Revilla,
  • Jacob Foster,
  • Nigel Gilbert,
  • Jennifer Golbeck,
  • Bruno Gonçalves,
  • James A. Kitts,
  • Larry S. Liebovitch,
  • Sorin A. Matei,
  • Anton Nijholt,
  • Andrzej Nowak,
  • Robert Savit,
  • Flaminio Squazzoni,
  • Alessandro Vinciarelli

Book titles in this series

  1. AI in the Financial Markets

    New Algorithms and Solutions

    Editors:
    • Federico Cecconi
    • Copyright: 2023

    Available Renditions

    • Hard cover
    • Soft cover
    • eBook
  2. Social Simulation for a Crisis

    Results and Lessons from Simulating the COVID-19 Crisis

    Editors:
    • Frank Dignum
    • Copyright: 2021

    Available Renditions

    • Hard cover
    • Soft cover
    • eBook

Abstracted and indexed in

  1. DBLP
  2. zbMATH