From Macro to Micro:Visualizing Scientific Structures with the SDCL-FrameworkOA

Purpose:This study aims to propose a scientific structure visualization framework that systematically characterizes the structure of scientific knowledge and analyzes the evolutionary trajectories of disciplinary topics,thereby providing data-driven support for scientific research decision-making.Design/methodology/approach:To effectively identify the macro-and micro-structures of scientific knowledge,this paper proposes an innovative framework-SDCL-Framework,which integrates the SBERT pre-trained model,density contour visualization,and Log-likelihood ratio(LLR)label extraction algorithm.The synergy among these three components supports a scientific structure analysis paradigm that combines semantic depth,structural precision,and algorithmic robustness.Based on Essential Science Indicators(ESI)highly cited papers,the SDCL-Framework is used to construct visual maps of basic research scientific structures at both macro and micro levels.Findings:The SDCL-Framework can reveal the internal micro-features and evolutionary processes within scientific structures,providing more detailed structural and relational information than traditional BERTopic-based results.Research limitations:Since this study uses only ESI Highly Cited Papers as the dataset to demonstrate the feasibility and effectiveness of our visualization framework,the results serve as a methodological demonstration and cannot be used as a definitive guide for policy or resource allocation.Practical implications:By integrating the SBERT model,density contour visualization,and LLR label extraction algorithm,the SDCL-Framework offers an innovative and comprehensive method for analyzing scientific structures.It assists in identifying research trends,optimizing the allocation of research resources,and supporting scientific decision-making.Originality/value:The SDCL-Framework creatively combines multiple techniques,achieving both semantic depth and structural precision.It uncovers the evolution of scientific research from macro and micro perspectives,demonstrating unique value in the analysis of scientific structures.