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Pathways Between Social Science and Computational Social Science

Theories, Methods, and Interpretations
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Description

This volume shows that the emergence of computational social science (CSS) is an endogenous response to problems from within the social sciences and not exogeneous. The three parts of the volume address various pathways along which CSS has been developing from and interacting with existing research frameworks. The first part exemplifies how new theoretical models and approaches on which CSS research is based arise from theories of social science. The second part is about methodological advances facilitated by CSS-related techniques. The third part illustrates the contribution of CSS to traditional social science topics, further attesting to the embedded nature of CSS. The expected readership of the volume includes researchers with a traditional social science background who wish to approach CSS, experts in CSS looking for substantive links to more traditional social science theories, methods and topics, and finally, students working in both fields.

Author Biography:

Tamás Rudas is Professor of Statistics in the Faculty of Social Sciences of the Eötvös Loránd University, Budapest. His main field of research is the development of methods of  mathematical statistics and their applications in the social sciences.  Gábor L. Péli is a senior researcher at the Centre for Social Sciences, Hungarian Academy of Sciences Centre for Excellence and professor of sociology at the Károli Gáspár University of the Reformed Church in Hungary. His research interests are in the logical analysis of organizational discourse and behavior along with network approaches to organizations.
Release date NZ
January 23rd, 2021
Contributors
  • Edited by Gabor Peli
  • Edited by Tamas Rudas
Pages
275
Edition
1st ed. 2021
Audiences
  • Postgraduate, Research & Scholarly
  • Professional & Vocational
  • Undergraduate
Illustrations
36 Illustrations, color; 24 Illustrations, black and white; XVII, 275 p. 60 illus., 36 illus. in color.
ISBN-13
9783030549350
Product ID
33580468

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