Editors:
- Offers useful insights to perform quantitative analyses in qualitative environments
- Explains how distant reading can be exploited to answer specific research questions
- Written in non-technical language to make the discussion accessible to readers without mathematical, computer or statistical backgrounds
Part of the book series: Quantitative Methods in the Humanities and Social Sciences (QMHSS)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (11 chapters)
-
Front Matter
-
Tracing the Life-Cycle of Ideas
-
Front Matter
-
-
Concepts and Methods
-
Front Matter
-
About this book
This book demonstrates how quantitative methods for text analysis can successfully combine with qualitative methods in the study of different disciplines of the Humanities and Social Sciences (HSS). The book focuses on learning about the evolution of ideas of HSS disciplines through a distant reading of the contents conveyed by scientific literature, in order to retrieve the most relevant topics being debated over time. Quantitative methods, statistical techniques and software packages are used to identify and study the main subject matters of a discipline from raw textual data, both in the past and today. The book also deals with the concept of quality of life of words and aims to foster a discussion about the life cycle of scientific ideas.
Textual data retrieved from large corpora pose interesting challenges for any data analysis method and today represent a growing area of research in many fields. New problems emerge from the growing availability of large databases and new methods are needed to retrieve significant information from thoselarge information sources. This book can be used to explain how quantitative methods can be part of the research instrumentation and the "toolbox" of scholars of Humanities and Social Sciences. The book contains numerous examples and a description of the main methods in use, with references to literature and available software. Most of the chapters of the book have been written in a non-technical language for HSS researchers without mathematical, computer or statistical backgrounds.
Keywords
Editors and Affiliations
-
Department of Philosophy, Sociology, Education and Applied Psychology, University of Padova, Padova, Italy
Arjuna Tuzzi
Bibliographic Information
Book Title: Tracing the Life Cycle of Ideas in the Humanities and Social Sciences
Editors: Arjuna Tuzzi
Series Title: Quantitative Methods in the Humanities and Social Sciences
DOI: https://doi.org/10.1007/978-3-319-97064-6
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2018
Hardcover ISBN: 978-3-319-97063-9Published: 08 November 2018
Softcover ISBN: 978-3-030-07296-4Published: 21 December 2018
eBook ISBN: 978-3-319-97064-6Published: 30 October 2018
Series ISSN: 2199-0956
Series E-ISSN: 2199-0964
Edition Number: 1
Number of Pages: XII, 217
Number of Illustrations: 10 b/w illustrations, 51 illustrations in colour
Topics: Statistics for Social Sciences, Humanities, Law, Data Mining and Knowledge Discovery, History of Science