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Pathways Between Social Science and Computational Social Science

Theories, Methods, and Interpretations

  • Book
  • © 2021

Overview

Editors:
  1. Tamás Rudas

    1. Department of Statistics, Eötvös Loránd University, Budapest, Hungary

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  2. Gábor Péli

    1. 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

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  • 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)

  1. Front Matter

    Pages i-xvii
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  2. Theory: Dilemmas of Model Building and Interpretation

    1. Front Matter

      Pages 1-1
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    2. Modeling the Complex Network of Social Interactions

      • János Kertész, János Török, Yohsuke Murase, Hang-Hyun Jo, Kimmo Kaski
      Pages 3-19

    3. Formal Design Methods and the Relation Between Simulation Models and Theory: A Philosophy of Science Point of View

      • Klaus G. Troitzsch
      Pages 21-45

  3. Methodological Toolsets

    1. Front Matter

      Pages 47-47
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    2. The Potential of Automated Text Analytics in Social Knowledge Building

      • Renáta Németh, Júlia Koltai
      Pages 49-70Open Access

    3. Combining Scientific and Non-scientific Surveys to Improve Estimation and Reduce Costs

      • Joseph W. Sakshaug, Arkadiusz Wiśniowski, Diego Andres Perez Ruiz, Annelies G. Blom
      Pages 71-93

    4. Harnessing the Power of Data Science to Grasp Insights About Human Behaviour, Thinking, and Feeling from Social Media Images

      • Diana Paula Dudău
      Pages 95-122

    5. Validating Simulation Models: The Case of Opinion Dynamics

      • Klaus G. Troitzsch
      Pages 123-155

  4. New Look on Old Issues: Research Domains Revisited by Computational Social Science

    1. Front Matter

      Pages 157-157
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    2. A Spatio-Temporal Approach to Latent Variables: Modelling Gender (im)balance in the Big Data Era

      • Franca Crippa, Gaia Bertarelli, Fulvia Mecatti
      Pages 159-177

    3. Agent-Based Organizational Ecologies: A Generative Approach to Market Evolution

      • César García-Díaz
      Pages 179-196

    4. Networks of the Political Elite and Political Agenda Topics: Creation and Analysis of Historical Corpora Using NLP and SNA Methods

      • Attila Gulyás, Martina Katalin Szabó, Orsolya Ring, László Kiss, István Boros
      Pages 197-214

    5. Participatory Budgeting: Models and Approaches

      • Haris Aziz, Nisarg Shah
      Pages 215-236

    6. From Durkheim to Machine Learning: Finding the Relevant Sociological Content in Depression and Suicide-Related Social Media Discourses

      • Júlia Koltai, Zoltán Kmetty, Károly Bozsonyi
      Pages 237-258Open Access

  5. Back Matter

    Pages 259-275
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Keywords

About this book

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.

Editors and Affiliations

  • Department of Statistics, Eötvös Loránd University, Budapest, Hungary

    Tamás Rudas

  • 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

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