[1] FORTUNATO S, BERGSTROM C T, BRNER K, et al. Science of science[J]. Science, 2018, 359(6379):eaao0185.
[2] PRICE D D S. A general theory of bibliometric and other cumulative advantage processes[J]. Journal of the American Society for Information Science, 1976, 27(5):292-306.
[3] 马费成, 陈潇俊, 刘向. 基于科学知识图谱分析的知识演化研究——以生物医学为例[J]. 情报科学, 2012, 30(1):1-7, 15.
[4] 杨建林, 郑昌兴. 文献检索服务中的知识脉络图分析[C]//第一届科学计量学与信息计量学研讨会论文集. 西安:中国科学学与科技政策研究会, 2013:251-255.
[5] 刘向, 马费成. 科学知识网络的演化与动力——基于科学引证网络的分析[J]. 管理科学学报, 2012, 15(1):87-94.
[6] 赖茂生. 信息资源管理教程[M]. 北京:清华大学出版社,2006:1-10.
[7] 王忠义, 涂悦, 夏立新. 科技文献资源中学科知识漂移研究[J]. 情报理论与实践, 2021, 44(6):118-124.
[8] GEORGE P. What is a knowledge ecosystem[EB/OL].[2022- 04-13]. http://www.co-i-l.com/coil/knowledge-garden/kd/kes.shtml.
[9] 陈茫, 张庆普, 陈洁. " 知识生态系统" 带来图书馆知识创新的新机遇[J]. 图书馆, 2016(5):15-20.
[10] BRAY D. Knowledge ecosystems[C]//FIP international working conference on organizational dynamics of technology-based innovation. Boston:Springer, 2007:457-462.
[11] 储节旺, 李佳轩. 知识生态系统中知识演化及智慧创生研究——以知乎社区为例[J]. 情报理论与实践, 2022, 45(9):51-58.
[12] BROOKES B C. The foundations of information science. part I. philosophical aspects[J]. Journal of information science, 1980, 2(3/4):125-133.
[13] 王琳. 布鲁克斯情报学基本方程式的思想脉络探析[J]. 情报探索, 2014(11):16-19.
[14] MEADOW C T, YUAN W. Measuring the impact of information:defining the concepts[J]. Information processing & management, 1997, 33(6):697-714.
[15] BROOKES B C. The foundations of information science:part III. quantitative aspects:objective maps and subjective landscapes[J]. Journal of information science, 1980, 2(6):269-275.
[16] 于海涛, 高一波, 杨一平. 基于知识树的领域知识组织和应用[J]. 计算机应用研究, 2008, 25(11):3246-3248.
[17] 谭红叶, 要一璐, 梁颖红. 基于知识脉络的科技论文推荐[J]. 山东大学学报:理学版, 2016, 51(5):94-101.
[18] 秦春秀, 赵捧未, 李东, 等. 对等网环境下基于树模型的对等节点的知识地图构建研究[J]. 情报学报, 2013, 32(7):686-696.
[19] 石湘, 刘萍. 基于知识元语义描述模型的领域知识抽取与表示研究——以信息检索领域为例[J]. 数据分析与知识发现, 2020, 5(4):123-133.
[20] 刘非凡, 张爽, 罗双玲, 等. 基于深度图神经网络方法的领域知识结构探测[J]. 情报学报, 2021, 40(11):1209-1220.
[21] 逯万辉, 谭宗颖. 基于深度学习的期刊分群与科学知识结构测度方法研究[J]. 情报学报, 2020, 39(1):38-46.
[22] BELVAUX G, WOLSEY L A. Bc-prod:a specialized branchand-cut system for lot-sizing problems[J]. Management science, 2000, 46(5):724-738.
[23] 刘向, 马费成, 陈潇俊, 等. 知识网络的结构与演化——概念与理论进展[J]. 情报科学, 2011, 29(6):801-809.
[24] 焦晓静, 王兰成. 知识图谱的概念辨析与学科定位研究[J]. 图书情报工作, 2015, 59(15):5-11.
[25] SCHOENBACH U H, GARFIELD E. Citation indexes for science[J]. Science, 1956, 123(3185):61-62.
[26] 加菲尔德. 引文索引法的理论及应用[M]. 北京:北京图书馆出版社, 2004.
[27] HUMMON N P, DEREIAN P. Connectivity in a citation network[J]. Social network, 1989, 11(1):39-63.
[28] 韩毅, 周畅, 刘佳. 以主路径为种子文献的领域演化脉络及凝聚子群识别[J]. 图书情报工作, 2013, 57(3):22-26.
[29] 章小童, 阮建海. 引文网络主路径分析法演化脉络及研究现状的文献计量分析[J]. 情报资料工作, 2016, 37(5):61-66.
[30] LIANG H, WANG J J, XUE Y, et al. IT outsourcing research from 1992 to 2013:a literature review based on main path analysis[J]. Information & management, 2016, 53(2):227-251.
[31] 肖雪, 陈云伟, 邓勇. 引文网络的社团划分研究进展综述[J]. 情报杂志, 2016, 35(4):125-130.
[32] SMALL H. The relationship of information science to the social sciences:a co-citation analysis[J]. Information processing & management, 1981, 17(1):39-50.
[33] CHEN C, IBEKWE-SANJUAN F, HOU J. The structure and dynamics of cocitation clusters:a multiple-perspective cocitation analysis[J]. Journal of the American Society for Information Science and Technology, 2010, 61(7):1386-1409.
[34] MORRIS S A, YEN G, WU Z, et al. Time line visualization of research fronts[J]. Journal of the Association for Information Science & Technology, 2014, 54(5):413-422.
[35] NI C, SUGIMOTO C R, CRONIN B. Visualizing and comparing four facets of scholarly communication:producers, artifacts, concepts, and gatekeepers[J]. Scientometrics, 2013, 94(3):1161- 1173.
[36] ROSSETT O D, BERNARDES R C, BORINI F M, et al. Structure and evolution of innovation research in the last 60 years:review and future trends in the field of business through the citations and co-citations analysis[J]. Scientometrics, 2018, 115(3):1329-1363.
[37] GONZáLEZ-TERUEL A, GONZáLEZ-ALCAIDE G, BARRIOS M, et al. Mapping recent information behavior research:an analysis of co-authorship and co-citation networks[J]. Scientometrics, 2015, 103(2):687-705.
[38] RéALE D, KHELFAOUI M, MONTIGLIO P O, et al. Mapping the dynamics of research networks in ecology and evolution using co-citation analysis (1975-2014)[J]. Scientometrics, 2020, 122(3):1361-1385.
[39] KERNIGHAN B W, LIN S. An efficient heuristic procedure for partitioning graphs[J]. The bell system technical journal, 1970, 49(2):291-307.
[40] GIRVAN M, NEWMAN M E. Community structure in social and biological networks[J]. Proceedings of the National Academy of Sciences, 2002, 99(12):7821-7826.
[41] GROVER A, LESKOVEC J. Node2vec:scalable feature learning for networks[C]//Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining. San Francisco:Association for Computing Machinery, 2016:855-864.
[42] KIPF T N, WELLING M. Semi-supervised classification with graph convolutional networks[Preprint]. arXiv preprint arXiv:1609.02907, 2016.
[43] VELIČKOVIĆ P, CUCURULL G, CASANOVA A, et al. Graph attention networks[Preprint]. arXiv preprint arXiv:1710.10903, 2017.
[44] HAMILTON W L, YING R, LESKOVEC J. Inductive representation learning on large graphs[C]//Proceedings of the 31st international conference on neural information processing systems. New York:Curran Associates, 2017:1025-1035.
[45] 滕广青, 贺德方, 彭洁, 等. 基于网络中心性的领域知识动态演化研究[J]. 图书情报工作, 2016, 60(14):128-134, 141.
[46] ZHANG Y, ZHANG G, CHEN H, et al. Topic analysis and forecasting for science, technology and innovation:methodology with a case study focusing on big data research[J]. Technological forecasting and social change, 2016, 105:179-191.
[47] ZHANG Y, ZHANG G, ZHU D, et al. Scientific evolutionary pathways:identifying and visualizing relationships for scientific topics[J]. Journal of the Association for Information Science and Technology, 2017, 68(8):1925-1939.
[48] 祝娜, 王芳. 基于主题关联的知识演化路径识别研究——以3D打印领域为例[J]. 图书情报工作, 2016, 60(5):101-109.
[49] 许鑫, 陈路遥, 杨佳颖. 数字人文研究领域的知识网络演化——基于题录信息和引文上下文的关键词共词分析[J]. 情报学报, 2019, 38(3):322-334.
[50] 王林, 薛玮, 潘陈益, 等. 虚拟现实研究热点及演化趋势分析[J]. 信息资源管理学报, 2017, 7(3):34-44.
[51] ZHANG X, XIE Q, SONG C, et al. Mining the evolutionary process of knowledge through multiple relationships between keywords[J]. Scientometrics, 2022, 127(4):2023-2053.
[52] JENSEN S, YU Y, LIU H B, et al. Query-centric scientific topic evolution extraction[J]. Proceedings of the Association for Information Science and Technology, 2015, 52(1):1-4.
[53] 陈果, 彭家彬, 肖璐. 基于"问题-方法"知识抽取的科研领域知识演化研究:以人工智能为例[J]. 情报理论与实践, 2022, 45(6):32-38.
[54] LIU Z, LAI Y C, YE N, et al. Connectivity distribution and attack tolerance of general networks with both preferential and random attachments[J]. Physics letters a, 2002, 303(5-6):337-344.
[55] 陈果, 赵以昕. 多因素驱动下的领域知识网络演化模型:跟风、守旧与创新[J]. 情报学报, 2020, 39(1):1-11.
[56] 张斌, 李亚婷. 知识网络演化模型研究述评[J]. 中国图书馆学报, 2016, 42(5):85-101.
[57] BLEI D M, NG A Y, JORDAN M I. Latent dirichlet allocation[J]. Journal of machine learning research, 2003, 3:993-1022.
[58] LEE H, KANG P. Identifying core topics in technology and innovation management studies:a topic model approach[J]. The journal of technology transfer, 2018, 43(5):1291-1317.
[59] 李跃艳, 王昊, 邓三鸿, 等. 近十年信息检索领域的研究热点与演化趋势研究——基于SIGIR会议论文的分析[J]. 数据分析与知识发现, 2021, 5(4):13-24.
[60] ZHU M, ZHANG X, WANG H. A LDA based model for topic evolution:evidence from information science journals[C]//Proceedings of the 2016 international conference on modeling, simulation and optimization technologies and applications. Xiamen:Atlantis Press, 2016:49-54.
[61] BLEI D M, LAFFERTY J D. Dynamic topic models[C]//Proceedings of the 23rd international conference on machine learning. Pennsylvania:Association for Computing Machinery. Xiamen:Atlantis Press, 2006:113-120.
[62] 齐亚双, 祝娜, 翟羽佳. 基于DTM的国内外情报学研究主题热度演化对比研究[J]. 图书情报工作, 2016, 60(16):99-109.
[63] MIMNO D, MCCALLUM A. Topic models conditioned on arbitrary features with Dirichlet-multinomial regression[C]//Proceedings of the twenty-fourth conference on uncertainty in artificial intelligence. Helsinki:AUAI Press, 2008:411-418.
[64] YAO R, YE Y, ZHANG J, et al. AI marker-based large-scale AI literature mining[Preprint]. arXiv preprint arXiv:2011.00518, 2020.
[65] YIN D, TAM W L, DING M, et al. MRT:tracing the evolution of scientific publications[J]. IEEE transactions on knowledge and data engineering, 2021, 35(1):711-724.
[66] ZHA H, CHEN W, LI K, et al. Mining algorithm roadmap in scientific publications[C]//Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining. New York:Association for Computing Machinery, 2019:1083-1092.
[67] 马朋坤. 基于大规模图书的知识脉络构建及应用[D]. 杭州:浙江大学, 2018.
[68] KONDO T, NANBA H, TAKEZAWA T, et al. Technical trend analysis by analyzing research papers' titles[M]. Human language technology. challenges for computer science and linguistics. Berlin:Springer, 2011:512-521.
[69] 钱力, 张晓林, 王茜. 基于科技文献的研究设计指纹描述框架研究[J]. 大学图书馆学报, 2015, 33(1):14-20.
[70] 刘自强, 岳丽欣, 许海云, 等. 时序共词网络构建及其动态可视化研究[J]. 情报学报, 2020, 39(2):186-198.
[71] JOHNSON R, WATKINSON A, MABE M. The stm report an overview of scientific and scholarly publishing[EB/OL].[2022-04-13]. https://www.stm-assoc.org/2018_10_04_STM_Report_2018.pdf.
