计算社会科学在社会研究中的应用与启示  

Applications and Implications of Computational Social Science in Social Research

作　　者：章长城[1] 方晖玥 ZHANG Chang-cheng;FANG Hui-yue(School of Ethnology and Sociology,South-Central Minzu University,Wuhan 430074,China;School of Law,Huazhong University of Science and Technology,Wuhan 430070,China)

机构地区：[1]中南民族大学民族学与社会学学院,湖北武汉430074 [2]华中科技大学法学院,湖北武汉430070

出　　处：《中南民族大学学报(人文社会科学版)》2025年第3期136-143,187,共9页Journal of South-Central Minzu University (Humanities and Social Sciences)

基　　金：国家社会科学基金重大项目“数字政府建设的安全治理体系研究”(20ZDA038)。

摘　　要：随着数字时代的来临,一系列数字技术的进步推动了社会研究方法的创新,计算社会科学应运而生。从基础应用的角度来看,计算社会科学的应用领域主要包括新型社会数据计算、社会网络分析、社会仿真模拟、社会复杂性分析、虚拟社会实验等。计算社会科学的革命意义在于突破传统社会科学研究范式,大幅提升资料收集和分析的效率,深刻揭示人类行为与社会发展的规律。计算社会科学无疑推动了社会系统的“计算”和“量化”进程,但也面临原有学科框架的知识制约、数据获取和处理的困难、研究对象的隐私和伦理问题等一系列挑战。在新一轮的范式嬗变中,必须关注“计算”和“量化”背后的社会文化意义,加强社会计算工具的研制与开发,增强学科间的跨界创新和多维数据分析能力。With the advent of the digital age,advancements in digital technologies have driven innovations in social research methodologies,giving rise to computational social science.From a foundational perspective,its applications encompass novel computational social data analysis,social network analysis,social simulation modeling,social complexity studies,and virtual social experiments.The revolutionary significance of computational social science lies in transcending traditional paradigms,enhancing the efficiency of data collection and analysis,and unveiling patterns in human behavior and social development.While it undeniably accelerates the“computational”and“quantitative”transformation of social systems,challenges persist,including disciplinary knowledge constraints,data acquisition and processing barriers,and ethical dilemmas regarding research subjects’privacy.In this new paradigm shift,it is imperative to contextualize computation and quantification within sociocultural frameworks,advance the development of social computing tools,and foster interdisciplinary collaboration and multidimensional data analytics.

关 键 词：计算社会科学 社会研究 数字时代 

分 类 号：C05[社会学]