研究论文

语义演化视角下免于引用现象的影响机制研究——以物理学领域为例

  • 王妤帆 ,
  • 石湘 ,
  • 黄圣智 ,
  • 程齐凯 ,
  • 黄永 ,
  • 陆伟
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  • 1 武汉大学信息管理学院 武汉 430072;
    2 武汉大学智能与创新治理研究所 武汉 430072
王妤帆,硕士研究生;石湘,博士研究生;黄圣智,博士后;程齐凯,副教授,博士,通信作者,E-mail: chengqikai@whu.edu.cn;黄永,副教授,博士;陆伟,教授,博士。

收稿日期: 2025-03-27

  修回日期: 2025-08-26

  网络出版日期: 2026-06-09

基金资助

本文系国家自然科学基金面上项目“基于机器阅读理解的科学命题文本论证逻辑识别”(项目编号:72174157)和中国科学技术信息研究所情报工程实验室开放基金资助研究成果之一。

Research on the Mechanism of Obliteration by Incorporation from a Semantic Evolution Perspective: A Case Study in Physics

  • Wang Yufan ,
  • Shi Xiang ,
  • Huang Shengzhi ,
  • Cheng Qikai ,
  • Huang Yong ,
  • Lu Wei
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  • 1 School of Information Management, Wuhan University, Wuhan 430072;
    2 Institute of Intelligence and Innovation Governance, Wuhan University, Wuhan 430072
Wang Yufan, Master’s Candidate; Shi Xiang, Doctoral Candidate; Huang Shengzhi, Postdoctoral; Cheng Qikai, Associate Professor, PhD, Corresponding Author, E-mail: chengqikai@whu.edu.cn; Huang Yong, Associate Professor, PhD; Lu Wei, Professor, PhD.

Received date: 2025-03-27

  Revised date: 2025-08-26

  Online published: 2026-06-09

Supported by

This work is supported by the General Program of National Natural Science Foundation of China titled “Identification of Argumentation Logic in Scientific Proposition Texts Based on Machine Reading Comprehension” (Grant No. 72174157) and the Open Fund of the Intelligence Engineering Laboratory, Institute of Scientific and Technical Information of China.

摘要

[目的/意义] 常识化后免于引用(obliteration by incorporation, OBI)指的是方法、理论等知识被普遍接受后不再被明确引用的现象。这一现象可能导致知识的学术影响力被低估,对学术评价的准确性构成挑战,因此深入研究这一现象并探讨其内在影响机制具有重要意义。[方法/过程] 首先,以arXiv论文集为数据源,通过显性引用、隐性引用和引用率测度物理学领域OBI现象的程度,并分析其发展特征。其次,从多个维度计算知识短语的语义演化指标。随后,应用多元回归分析探讨语义演化与OBI现象的关系。[结果/结论] 在OBI现象发展过程中,显性引用峰值与隐性引用峰值之间存在一定的时滞性;随着语义变化程度减小和应用情境趋于丰富,知识短语被广泛接纳为常识,因此OBI现象程度显著。本文从语义演化的视角解释OBI现象的影响机制,深化对OBI现象的认识,为完善以引用为主的评价体系提供参考。

本文引用格式

王妤帆 , 石湘 , 黄圣智 , 程齐凯 , 黄永 , 陆伟 . 语义演化视角下免于引用现象的影响机制研究——以物理学领域为例[J]. 图书情报工作, 2026 , 70(12) : 55 -66 . DOI: 10.13266/j.issn.0252-3116.2026.12.005

Abstract

[Purpose/Significance] Obliteration by incorporation (OBI) refers to the phenomenon where methods, theories, and other forms of knowledge cease to be explicitly cited after becoming widely accepted as common knowledge. This process results in an underestimation of the academic influence of such knowledge, posing challenges to the accuracy and validity of academic evaluation. Therefore, in-depth research on this phenomenon and its underlying mechanisms is important to enhance academic assessment frameworks. [Method/Process] Utilizing the arXiv repository as the data source, this study measures the extent of OBI in physics by analyzing the trends of explicit citations, implicit citations, and citation rates. It then calculates semantic evolution indicators of knowledge phrases from multiple dimensions. A multiple regression analysis is applied to explore the associations between semantic evolution and OBI. [Result/Conclusion] The findings reveal a temporal delay between the peaks of explicit and implicit citations. The reduction of semantic variation, coupled with the enrichment of application contexts, facilitates the transition of knowledge phrases into common knowledge, leading to an increased degree of OBI. This study explains the mechanism underlying OBI from the perspective of semantic evolution, thereby contributing to a deeper understanding of OBI and offering valuable insights for refining citation-based academic evaluation systems.

参考文献

[1] STONE G P, MERTON R K. Social theory and social structure[J]. Administrative science quarterly, 1958, 2(4): 556.
[2] 吕海华, 李江. 知识扩散中的“常识化后免于引用”现象:一项评述[J]. 数据分析与知识发现, 2022, 6(8): 12-19. (LYU H H, LI J. Review of “obliteration by incorporation” in knowledge diffusion[J]. Data analysis and knowledge discovery, 2022, 6(8): 12-19.)
[3] 林聚任. 站在巨人的肩上——读默顿《社会理论和社会结构》[J]. 中国图书评论, 2007(10): 61-65. (LIN J R. Standing on the shoulders of giants: reading Merton’s Social theory and social structure[J]. China book review, 2007, 30(10): 61-65.)
[4] 罗纳德·鲁索, 利奥·埃格赫, 拉夫·冈斯. 智慧计量:科学计量学使用指南[M]. 北京: 科学出版社, 2023:92. (ROUSSEAU R, EGGHE L, GUNS R. Becoming metric-wise: a bibliometric guide for researchers[M]. Beijing: Science Press, 2023: 92.)
[5] MERTON R K. The Matthew effect in science, II: Cumulative advantage and the symbolism of intellectual property[J]. ISIS, 1988, 79(4): 606-623.
[6] GARFIELD E, WELLJAMS-DOROF A. Citation data: their use as quantitative indicators for science and technology evaluation and policy-making[J]. Science and public policy, 1992, 19(5): 321-327.
[7] SMALL H G. Cited documents as concept symbols[J]. Social studies of science, 1978, 8(3): 327-340.
[8] MARX W, CARDONA M. The citation impact outside references: formal versus informal citations[J]. Scientometrics, 2009, 80(1): 1-21.
[9] MCCAIN K W. Eponymy and obliteration by incorporation: the case of the “Nash equilibrium”[J]. Journal of the American Society for Information Science and Technology, 2011, 62(7): 1412-1424.
[10] MCCAIN K W. Assessing obliteration by incorporation in a full-text database: JSTOR, Economics, and the concept of “bounded rationality”[J]. Scientometrics, 2014, 101(2): 1445-1459.
[11] MCCAIN K W. Mining full-text journal articles to assess obliteration by incorporation: Herbert A. Simon’s concepts of bounded rationality and satisficing in economics, management, and psychology[J]. Journal of the Association for Information Science and Technology, 2015, 66(11): 2187-2201.
[12] GORRAIZ J, GUMPENBERGER C, WIELAND M. Galton 2011 revisited: a bibliometric journey in the footprints of a universal genius[J]. Scientometrics, 2011, 88(2): 627-652.
[13] 吕海华, 李江. “常识化后免于引用”现象的测度研究——以马太效应为例[J]. 图书情报知识, 2024, 41(6): 102-112. (LYU H H, LI J. The measurement of the “obliteration by incorporation” phenomenon: a case of Matthew effect[J]. Documentation, information & knowledge, 2024, 41(6): 102-112.)
[14] MENG X, VAROL O, BARABÁSI A L. Hidden citations obscure true impact in science[J]. PNAS nexus, 2024, 3(5): 155-164.
[15] LIN J, YU Y, SONG J, et al. Detecting and analyzing missing citations to published scientific entities[J]. Scientometrics, 2022, 127(5): 2395-2412.
[16] SAIER T, FÄRBER M. unarXive: a large scholarly data set with publications’ full-text, annotated in-text citations, and links to metadata[J]. Scientometrics, 2020, 125(3): 3085-3108.
[17] 罗伯特·K·默顿. 社会理论和社会结构[M]. 南京: 译林出版社, 2006: 46. (MERTON R K. Social theory and social structure[M]. Nanjing: Yilin Press, 2006: 46.)
[18] GARFIELD E. Uncitedness-III- Importance of not being cited[J]. Current contents/life sciences, 1973, 16(8): 5-6.
[19] GARFIELD E. Obliteration phenomenon in science and advantage of being obliterated[J]. Current contents/life sciences, 1975, 51(5): 5-7.
[20] 张素芳, 刘慧敏. 单篇论文被引频次影响因素及预测研究综述[J]. 知识管理论坛, 2022, 7(3): 299-313. (ZHANG S F, LIU H M. A review of research on influencing factors and prediction of citation frequency of a single paper[J]. Knowledge management forum, 2022, 7(3): 299-313)
[21] WAGNER C S, JONKERS K. Open countries have strong science[J]. Nature, 2017, 550(7674): 32-33.
[22] BACCINI A, DE NICOLAO G, PETROVICH E. Citation gaming induced by bibliometric evaluation: a country-level comparative analysis[J]. PLOS one, 2019, 14(9): e0221212.
[23] HARWOOD N. An interview-based study of the functions of citations in academic writing across two disciplines[J]. Journal of pragmatics, 2009, 41(3): 497-518.
[24] 王海燕, 马峥, 潘云涛, 等. 高被引论文与“睡美人”论文引用曲线及影响因素研究[J]. 图书情报工作, 2015, 59(16): 83-89. (WANG H Y, MA Z, PAN Y T, et al. Study on citation curves of highly-cited articles with sleeping beauties articles[J]. Library and information service, 2015, 59(16): 83-89.)
[25] 刘玉仙, 武夷山. 关于引文本质的思考[J]. 科学学研究, 2015, 33(12): 1779-1786, 1882. (LIU Y X, WU Y S. On essence of citations[J]. Studies in science of science, 2015, 33(12): 1779-1786, 1882.)
[26] 崔蕴学, 王贤文, 王勇臻. 归因理论视角下的学术引用行为研究:梳理与评析[J]. 情报理论与实践, 2023, 46(7): 168-177. (CUN Y X, WANG X W, WANG Y Z. New insights into scholarly citation behaviors: a perspective from attribution theory[J]. Information studies: theory & application, 2023, 46(7): 168-177.)
[27] MA A, LIU Y, XU X, et al. A deep-learning based citation count prediction model with paper metadata semantic features[J]. Scientometrics, 2021, 126(8): 6803-6823.
[28] DEERWESTER S, DUMAIS S T, FURNAS G W, et al. Indexing by latent semantic analysis[J]. Journal of the American society for information science, 1990, 41(6): 391-407.
[29] MIKOLOV T, CHEN K, CORRADO G, et al. Efficient estimation of word representations in vector space[J]. Computer science, 2013.
[30] PENNINGTON J, SOCHER R, MANNING C. Glove: global vectors for word representation[C]//Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP). Doha: Association for computational linguistics, 2014: 1532-1543.
[31] DEVLIN J, CHANG M W, LEE K, et al. Bert: pre-training of deep bidirectional transformers for language understanding[C]//Proceeding of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies. Minneapolis: Association for computational linguistics, 2019: 4171-4186.
[32] PETERS M E, NEUMANN M, IYER M, et al. Deep contextualized word representations [C]//Proceedings of the 2018 conference of the North American chapter of the association for computational linguistics: human language technologies. New Orleans: Association for computational linguistics, 2018: 2227-2237.
[33] VASWANI A, SHAZEER N, PARMAR N, et al. Attention is all you need[C]//Advances in neural information processing systems. Long Beach: Curran Associates, Inc, 2017: 5998-6008.
[34] HAMILTON W L, LESKOVEC J, JURAFSKY D. Diachronic word embeddings reveal statistical laws of semantic change[C]//Proceedings of the 54th annual meeting of the association for computational linguistics. Berlin: Association for Computational Linguistics, 2016: 1489-1501.
[35] 巴志超, 杨子江, 朱世伟, 等. 基于关键词语义网络的领域主题演化分析方法研究[J]. 情报理论与实践, 2016, 39(3): 67-72. (BA Z C, YANG Z J, ZHU S W, et al. Research on the domain theme evolution analysis based on keywords semantic network[J]. Information studies: theory & application, 2016, 39(3): 67-72.)
[36] HAMILTON W L, LESKOVEC J, JURAFSKY D. Cultural shift or linguistic drift? Comparing two computational measures of semantic change[C]//Proceedings of the 2016 conference on empirical methods in natural language processing. Austin: Association for Computational Linguistics, 2016: 2116-2124.
[37] SONI S, LERMAN K, EISENSTEIN J. Follow the leader: documents on the leading edge of semantic change get more citations[J]. Journal of the association for information science and technology, 2021, 72(4): 478-492.
[38] TOUBIA O, BERGER J, ELIASHBERG J. How quantifying the shape of stories predicts their success[J]. Proceedings of the national academy of sciences, 2021, 118(26): e2011695118.
[39] 步一, 黄圣智, 黄永, 等. 学者研究主题演化的时空测度:速度、覆盖度和迂回度[J]. 图书情报工作, 2022, 66(24): 84-91. (BU Y, HUANG S Z, HUANG Y, et al. Temporal-spatial measurements for research topic evolution of researchers: speed, volume, and circuitousness[J]. Library and information service, 2022, 66(24): 84-91.)
[40] PETROVICH E, VERHAEGH S, BÖS G, et al. Bibliometrics beyond citations: introducing mention extraction and analysis[J]. Scientometrics, 2024, 129(9): 5731-5768.
[41] REIMERS N, GUREVYCH I. Sentence-BERT: sentence embeddings using siamese BERT-networks[C]//Proceedings of the 2019 conference on empirical methods in natural language processing and the 9th international joint conference on natural language processing. Hong Kong: Association for computational linguistics, 2019: 3980-3990.
[42] ZHANG F, WU S. Predicting citation impact of academic papers across research areas using multiple models and early citations[J]. Scientometrics, 2024, 129(7): 4137-4166.
[43] SAIER T, FÄRBER M, TSERETELI T. Cross-lingual citations in English papers: a large-scale analysis of prevalence, usage, and impact[J]. International journal on digital libraries, 2022, 23(2): 179-195.
[44] BLEI D M, NG A Y, JORDAN M I. Latent Dirichlet allocation[J]. The journal of machine learning research, 2003(3): 993-1022.
[45] 李江, 姜明利, 李玥婷.引文曲线的分析框架研究——以诺贝尔奖得主的引文曲线为例[J]. 中国图书馆学报, 2014, 40(2): 41-49. (LI J, JIANG M L, LI Y T. Citation curves of Nobel laureates[J]. Journal of library science in china, 2014, 40(2): 41-49.)
[46] KEDRICK K, LEVITSKAYA E, FUNK R J. Conceptual structure and the growth of scientific knowledge[J]. Nature human behaviour, 2024, 8(10): 1915-1923.
[47] POLCHINSKI J. Dirichlet-branes and Ramond-Ramond charges[J]. Physical review letters, 1995, 75(26): 4724-4727.
[48] CHEN B, DING Y, MA F. Semantic word shifts in a scientific domain[J]. Scientometrics, 2018, 117(1): 211-226.
[49] SMALL H. On the shoulders of Robert Merton: towards a normative theory of citation[J]. Scientometrics, 2004, 60(1): 71-79.
[50] VARGA A. Shorter distances between papers over time are due to more cross-field references and increased citation rate to higher-impact papers[J]. Proceedings of the national academy of sciences, 2019, 116(44): 22094-22099.
[51] NEKRASOV N A. Seiberg-Witten prepotential from instanton counting[J]. Advances in theoretical and mathematical physics, 2002, 7(5): 831-864.
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