Computational social science

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Computational social science refers to the academic sub-disciplines concerned with computational approaches to the social sciences. This means that computers are used to model, simulate, and analyze social phenomena. Fields include computational economics and computational sociology. It focuses on investigating social and behavioral relationships and interactions through social simulation, modeling, network analysis, and media analysis.[1]

Computational social science revolutionizes both fundamental legs of the scientific method: empirical research, especially through big data, by analyzing the digital footprint left behind through social online activities; and scientific theory, especially through computer simulation model building through social simulation.[2][3] It is a multi-disciplinary and integrated approach to social survey focusing on information processing by means of advanced information technology. The computational tasks include the analysis of social networks and social geographic systems.[4]


  1. "The Computational Social Science Society of the Americas official website".<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
  2. DT&SC 7-1: . Introduction to e-Science: From the DT&SC online course at the University of California
  3. Hilbert, M. (2015). "e-Science for Digital Development: ICT4ICT4D" (PDF). Centre for Development Informatics, SEED, University of Manchester. ISBN 978-1-905469-54-3. Cite journal requires |journal= (help)<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
  4. Cioffi-Revilla, Claudio (2010). "Computational social science". Wiley Interdisciplinary Reviews: Computational Statistics. 2 (3): 259–271. doi:10.1002/wics.95.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>

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