Computational Social Science is an interdisciplinary field undergoing rapid growth due to the availability of ever increasing computational power leading to new areas of research.

Embracing a spectrum from theoretical foundations to real world applications, the Wiley Series in Computational and Quantitative Social Science is a series of titles ranging from high level student texts, explanation and dissemination of technology and good practice, through to interesting and important research that is immediately relevant to social / scientific development or practice. Books within the series will be of interest to senior undergraduate and graduate students, researchers and practitioners within statistics and social science.

Primary subject areas within the scope of the series include mathematical sociology, economic sociology, social simulation / agent-based social simulation, social network analysis, social complexity, social & behavioural dynamics, social contagion, demography, causality, data mining & analysis, data privacy and security, analytical sociology, econophysics/ sociophysics, (evolutionary/ algorithmic) game theory, and computational/experimental social sciences. If you are interested in writing a book within this series please contact Heather Kay (hkay@wiley.com) to discuss your proposal.

---

Wiley Series in Computational and Quantitative Social Science (1)