Editors:
- Demonstrates theoretical, methodological and topical pathways between traditional and computational social science
- Uses these pathways to improve the interpretative power of traditional social science
- Provides novel practical examples as to how traditional social scientists might approach computational social science
Part of the book series: Computational Social Sciences (CSS)
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Table of contents (11 chapters)
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Front Matter
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Theory: Dilemmas of Model Building and Interpretation
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Front Matter
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Methodological Toolsets
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Front Matter
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New Look on Old Issues: Research Domains Revisited by Computational Social Science
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Front Matter
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Back Matter
About this book
Editors and Affiliations
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Department of Statistics, Eötvös Loránd University, Budapest, Hungary
Tamás Rudas
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Department of Sociology Gáspár Károli, University of the Reformed Church in Hungary, Centre for Social Sciences, Hungarian Academy of Sciences Centre of Excellence, Budapest, Hungary
Gábor Péli
About the editors
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.
Bibliographic Information
Book Title: Pathways Between Social Science and Computational Social Science
Book Subtitle: Theories, Methods, and Interpretations
Editors: Tamás Rudas, Gábor Péli
Series Title: Computational Social Sciences
DOI: https://doi.org/10.1007/978-3-030-54936-7
Publisher: Springer Cham
eBook Packages: Social Sciences, Social Sciences (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-54935-0Published: 23 January 2021
Softcover ISBN: 978-3-030-54938-1Published: 23 January 2022
eBook ISBN: 978-3-030-54936-7Published: 22 January 2021
Series ISSN: 2509-9574
Series E-ISSN: 2509-9582
Edition Number: 1
Number of Pages: XVII, 275
Number of Illustrations: 24 b/w illustrations, 36 illustrations in colour
Topics: Social Sciences, general, Computer Applications, Complex Systems