Sociological research in the digital age: forming the Knowledge base of Computational sociology
https://doi.org/10.26794/2226-7867-2022-12-3-36-40
Abstract
The continuous growth of big data and developments in computational sciences have contributed to the development of such an area of knowledge as computational sociology. Research performed using computational methods to analyse big data have great potential. However, a lot of fundamental work needs to be done to establish the theoretical basis of computational sociology. This paper aims to build a knowledge base for computational sociology. It brings together research done using computational and mathematical methods, as well as related to modelling, machine learning, and social networks analysis. There are several limitations of employing such methods in the social sciences, but they significantly expand the research field.
About the Author
K. F. Rafikova
RANEPA
Russian Federation
Russian Federation
Ksenia F. Rafikova — Postgraduate student in the Department of Philosophy and Sociology, Institute for Social Sciences; professor of the Department of Theoretical Sociology and Epistemology, Faculty of Philosophy and Sociology, Institute for Social Sciences
Moscow
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Review
For citations:
Rafikova K.F. Sociological research in the digital age: forming the Knowledge base of Computational sociology. Humanities and Social Sciences. Bulletin of the Financial University. 2022;12(3):36-40. (In Russ.) https://doi.org/10.26794/2226-7867-2022-12-3-36-40
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