Computational Social Science
Computational Social Science is an interdisciplinary field that integrates big data, machine learning, and computational methods to study social behavior and social phenomena. It develops methodological frameworks for quantitatively understanding the patterns and regularities of human societies.
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In the study, LLMs play the role of both participants in codebook design and a component of the evaluation protocol, and this two-level approach offers a reusable framework for measurement problems in computational social science.
Multi-agent simulation provides a controlled experimental platform for the social sciences, enabling the study of social stability and collapse by adjusting initial conditions, running simulations repeatedly, and observing causal relationships.
David Lazer等人2009年在《Science》上发表宣言式论文，标志着计算社会科学交叉领域的正式确立
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In the study, LLMs play the role of both participants in codebook design and a component of the evaluation protocol, and this two-level approach offers a reusable framework for measurement problems in computational social science.
50%UnverifiedMulti-agent simulation provides a controlled experimental platform for the social sciences, enabling the study of social stability and collapse by adjusting initial conditions, running simulations repeatedly, and observing causal relationships.
50%UnverifiedDavid Lazer等人2009年在《Science》上发表宣言式论文，标志着计算社会科学交叉领域的正式确立
50%