Understanding China through big data : applications of theory-oriented quantitative approaches
Author(s)
Bibliographic Information
Understanding China through big data : applications of theory-oriented quantitative approaches
(Routledge advances in sociology, 314)
Routledge, 2022
- : hbk
Available at 2 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references (p. [220]-251) and index
Description and Table of Contents
Description
Chen, He and Yan present a range of applications of multiple-source big data to core areas of contemporary sociology, demonstrating how a theory-guided approach to macrosociology can help to understand social change in China, especially where traditional approaches are limited by constrained and biased data.
In each chapter of the book, the authors highlight an application of theory-guided macrosociology that has the potential to reinvigorate an ambitious, open-minded and bold approach to sociological research. These include social stratification, social networks, medical care, and online behaviours among many others. This research approach focuses on macro-level social process and phenomena by using quantitative models to statistically test for associations and causalities suggested by a clearly hypothesised social theory. By deploying theory-oriented macrosociology where it can best assure macro-level robustness and reliability, big data applications can be more relevant to and guided by social theory.
An essential read for sociologists with an interest in quantitative and macro-scale research methods, which also provides fascinating insights into Chinese society as a demonstration of the utility of its methodology.
Table of Contents
Part I Introduction 1. Bringing Big Data to Quantitative Macrosociology Part II Mapping Public Discourse and Ideological Stratification 2. Social Stratification as a Public Discourse in China, 1949-2008 3. Public Concerns about Class Immobility and Economic Inequality 4. Self-Perceived Social Mobility and Class Solidification 5. Stratified Nostalgia for the Chinese Revolutions Part III Portraying Social Transformations and Cultural Practices 6. The International Visibility of Chinese Cities in Modern Times 7. The Cultural Determinant of Foreign Direct Investment 8. The Effect of Cultural Familiarity on Inbound Tourism 9. Co-author Networks in China's Humanities and Social Sciences PART IV Revealing Public Health and Community Wellness 10. Evaluating Effect of PM2.5 Exposure on Suicidal Ideation 11. Forecasting Trends in Prevalence and Incidence of HIV/AIDS 12. Profiling the Vaping Epidemic and Public Favorites on E-Cigarettes 13. Measuring Public Concerns in LGBT Issues
by "Nielsen BookData"