Understanding China through Big Data: Applications of Theory-oriented Quantitative Approaches

ISBN-13: 9780367758264 / Angielski / Twarda / 2021 / 258 str.

Yunsong Chen; Guangye He; Fei Yan

Opis

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 a society, especially where traditional approaches are limited by constrained and biased data.

Spis treści

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