面向大数据的计算社会科学:一种诠释社会现象的新范式

Computational Social Sciences Oriented to the Big Data:A New Paradigm for Interpreting the Social Phenomena

面对复杂而又充斥不确定性的社会现象,作为当下社会科学研究最新前沿理论的计算社会科学,有助于厘清并诠释社会现象的内在机理。通过梳理诠释社会现象的既有范式,厘清了其内在限度,提出计算社会科学范式的应然性,进而凝练出面向大数据时代的计算社会科学内涵,分析计算社会科学的兴起原因及发展图景。研究表明,面向大数据时代下的计算社会科学在认知方式和研究方法上都有所突破和革新。由此证明了,计算社会科学作为一种新范式,有助于实现社会科学研究范式的转化,从而在大数据时代下提升诠释社会现象的深度与广度。

In the face of complex and uncertain social phenomena, as the current frontier theory of social science research, computational social science is helpful to clarify and interpret the internal mechanism of social phenomena. By clarifying the existing paradigm of social phenomena, the article clarifies its inner limits and puts forward the necessity of computational social science paradigm, based on which the connotation of computational social science for the era of big data has been concluded, and the reasons for the rise of social sciences and its development has been analyzed. Studies have shown that the computational social science in the era of big data has made breakthroughs and innovations in cognitive methods and research methods. It proves that the computational social science as a new paradigm is conducive to the transformation of social science research paradigm, so as to enhance the depth and breadth of interpretation of social phenomena in the era of big data.