Cantitate/Preț
Produs

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

Editat de Tamás Rudas, Gábor Péli
en Limba Engleză Paperback – 23 ian 2022
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.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 46938 lei  6-8 săpt.
  Springer International Publishing – 23 ian 2022 46938 lei  6-8 săpt.
Hardback (1) 56787 lei  6-8 săpt.
  Springer International Publishing – 23 ian 2021 56787 lei  6-8 săpt.

Din seria Computational Social Sciences

Preț: 46938 lei

Nou

Puncte Express: 704

Preț estimativ în valută:
8983 9477$ 7486£

Carte tipărită la comandă

Livrare economică 02-16 ianuarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783030549381
ISBN-10: 3030549380
Pagini: 275
Ilustrații: XVII, 275 p. 60 illus., 36 illus. in color.
Dimensiuni: 155 x 235 x 24 mm
Greutate: 0.42 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Computational Social Sciences

Locul publicării:Cham, Switzerland

Cuprins

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

Notă biografică


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.



Textul de pe ultima copertă

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.

Caracteristici

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