Tracing the Life Cycle of Ideas in the Humanities and Social Sciences

A Portrait of a Discipline through Analyses of Scientific Literature, Quantitative Methods in the Humanities and Social Sciences

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Bibliografische Daten
ISBN/EAN: 9783319970639
Sprache: Englisch
Umfang: xii, 217 S., 10 s/w Illustr., 51 farbige Illustr.,
Auflage: 1. Auflage 2019
Einband: gebundenes Buch

Beschreibung

This book demonstrates how quantitative methods for text analysis can be supported by qualitative methods in the study of different disciplines of the Humanities and Social Sciences (HSS). Quantitative methods are often used in the analysis of the scientific literature (e.g. in scientometrics) but, despite the increasing availability of large databases, these approaches can work successfully alongside qualitative methods. This book focuses on learning about the evolution of ideas of HSS disciplines through a distant reading of the contents conveyed by scientific research, 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 both in the past and today from raw textual data. The book also deals with a 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 those large 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 used 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.

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Springer Verlag GmbH
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