Understanding China through Big Data

<p>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.</p><p>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. </p><p>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.</p> <p><strong>Part I Introduction </strong> 1. Bringing Big Data to Quantitative Macrosociology <b>Part II Mapping Public Discourse and Ideological Stratification </b>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 <b>Part III Portraying Social Transformations and Cultural Practices </b>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 <b>PART IV Revealing Public Health and Community Wellness </b>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</p>