英文摘要 |
Recent decades have witnessed an explosive growth of modern computational and digital technology. Not only do advancements in computational power make it possible to process massive information in a split second, but the emergence of modern social media that draws on computational power also has dominated almost every economic transaction and social interaction in daily life. The article presents an introduction to a new research area in sociology that benefits from the digital revolution–computational sociology. We divide the research area in two categories: The first type of research uses computers to model or simulate complex social phenomena that are otherwise difficult to disentangle due to a lack of or limited access to real data. This kind of computational approach explains underlying mechanisms of the social phenomena in which we are interested. The second type of research, often known as the “big data approach”, uses social media to collect data or test sociological theories. This kind of approach offers an opportunity to observe natural, real-time interactions among people in different domains of social life. In the paper, we list a few representative examples of research for each category to illustrate in more detail the characteristics and merits of computational sociology. A brief methodological discussion of the two approaches is presented, along with a note on their implications for the scholarship of Taiwan. |