Pathways Between Social Science and Computational Social Science: Theories, Methods, and Interpretations

Author:   Tamás Rudas ,  Gábor Péli
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
ISBN:  

9783030549381


Pages:   275
Publication Date:   23 January 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Pathways Between Social Science and Computational Social Science: Theories, Methods, and Interpretations


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Overview

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.

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Author:   Tamás Rudas ,  Gábor Péli
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Weight:   0.456kg
ISBN:  

9783030549381


ISBN 10:   3030549380
Pages:   275
Publication Date:   23 January 2022
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction.- Theory: Dilemmas of Model Building and Interpretation.- Methodological Toolsets.- New Look on Old Issues: Research Domains Revisited by Computational Social Science.- Epilogue.

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Author Information

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.

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