Social science concerns issues on individuals, relationships, and the whole society. The complexity of research topics in social science makes it the amalgamation of multiple disciplines, such as economics, political science, and sociology, etc. For centuries, scientists have conducted many studies to understand the mechanisms of the society. However, due to the limitations of traditional research methods, there exist many critical social issues to be explored. To solve those issues, computational social science emerges due to the rapid advancements of computation technologies and the profound studies on social science. With the aids of the advanced research techniques, various kinds of data from diverse areas can be acquired nowadays, and they can help us look into social problems with a new eye. As a result, utilizing various data to reveal issues derived from computational social science area has attracted more and more attentions. In this paper, to the best of our knowledge, we present a survey on data-driven computational social science for the first time which primarily focuses on reviewing application domains involving human dynamics. The state-of-the-art research on human dynamics is reviewed from three aspects: individuals, relationships, and collectives. Specifically, the research methodologies used to address research challenges in aforementioned application domains are summarized. In addition, some important open challenges with respect to both emerging research topics and research methods are discussed.
学科的诞生和衰落对科学和社会至关重要。然而，迄今为止，没有定量模型允许我们验证竞争的理论，科学学科的出现是否驱动或遵循学者的社会社区的形成。在这里，我们提出了一个基于代理的模型的基础上的\emph{social dynamics of science,}，其中学科的演变主要是由科学家之间的社会互动。我们发现，这样一个社会理论可以解释一些程式化的事实之间的关系学科，作者和出版物。这些结果为社会互动在塑造科学动态中的关键作用提供了强有力的定量支持。“科学的科学”必须根据这一纯粹的社会基线来衡量科学发现和技术进步等外生事件的作用。
Multilingual Agent-Based World Modeling for Social Science
Institute of Data Science, National University of Singapore（新加坡国立大学数据科学研究所）；Singapore University of Technology and Design（新加坡科技设计大学）；National School of Development, Peking University（北京大学国家发展研究院）；Singapore Management University（新加坡管理大学）
