用引用结构多样性评估文献影响力，更准衡量跨学科价值。
Citation Structural Diversity: A Novel and Concise Metric Combining Structure and Semantics for Literature Evaluation
- 结合引用结构与语义信息构建新评价模型
- 高结构多样性的文献引用量和长期影响更强
- 适合评估跨学科研究的学术价值
随着学术研究日益多样化，传统文献评价方法在捕捉学术传播复杂性和文献多维影响方面面临显著局限。为此，本文提出一种基于引用结构多样性的新型文献评价模型，重点考察其作为评价指标的可行性。通过优化引用网络，融合引用结构特征与语义信息，研究分析了该模型对引文数量及长期学术影响的作用。结果表明，引用结构多样性更高的文献在引文频率和持续学术影响力方面具有明显优势。通过数据分组与十年引文趋势分析，进一步验证了该模型在文献评价中的潜在应用价值。本研究为优化文献评价方法提供了新视角，凸显了引用结构多样性在衡量跨学科性方面的独特优势。
原文摘要 · Abstract (English)
As academic research becomes increasingly diverse, traditional literature evaluation methods face significant limitations,particularly in capturing the complexity of academic dissemination and the multidimensional impacts of literature. To address these challenges, this paper introduces a novel literature evaluation model of citation structural diversity, with a focus on assessing its feasibility as an evaluation metric. By refining citation network and incorporating both ciation structural features and semantic information, the study examines the influence of the proposed model of citation structural diversity on citation volume and long-term academic impact. The findings reveal that literature with higher citation structural diversity demonstrates notable advantages in both citation frequency and sustained academic influence. Through data grouping and a decade-long citation trend analysis, the potential application of this model in literature evaluation is further validated. This research offers a fresh perspective on optimizing literature evaluation methods and emphasizes the distinct advantages of citation structural diversity in measuring interdisciplinarity.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。