基于知识图谱的国外信息可视化研究热点和前沿趋势分析
Analysis of Research Hotspots and Frontier Trends of Information Visualization Abroad Based on Knowledge Atlas
摘要: 数据时代,数据无处不在。信息可视化是将数据映射为视觉图形,提高对数据的认知效率,传达数据背后的有效信息。为描绘国际信息可视化领域的研究图景,本文借助CiteSpace软件,收集和分析Web of Science核心合集数据库中收录的2007年至2022年信息可视化研究的相关文献,通过构建信息可视化研究的时空分布、研究热点与前沿趋势三个方面的知识图谱,厘清信息可视化的研究范畴和发展趋势。
Abstract: In the data age, data is everywhere. Information visualization is to map data into visual graphics, improve the cognitive efficiency of data, and convey the effective information behind the data. In order to describe the research landscape of international information visualization, this paper uses CiteSpace software to collect and analyze the relevant literature on information visualization research from 2007 to 2022 included in the Web of Science core collection database, and clarify the research scope and development trend of information visualization by building a knowledge map of information visualization research in three aspects: spatial and temporal distribution, research hotspots and cutting-edge trends.
文章引用:吴铁柱. 基于知识图谱的国外信息可视化研究热点和前沿趋势分析[J]. 运筹与模糊学, 2023, 13(3): 1686-1699. https://doi.org/10.12677/ORF.2023.133170

参考文献

[1] 陈为. 数据可视化的基本原理与方法[M]. 北京: 科学出版社, 2013: 1-2, 10-11.
[2] 陈丽. 大数据背景下信息可视化设计方法研究[J]. 大观, 2019(11): 118-119.
[3] Lee, B., Choe, E.K., Isenberg, P., Marriott, K. and Stasko, J. (2020) Reaching Broader Audiences with Data Visualization. IEEE Computer Graphics and Applications, 40, 82-90. [Google Scholar] [CrossRef
[4] Pousman, Z., Stasko, J. and Mateas, M. (2007) Casual Information Visualization: Depictions of Data in Everyday Life. IEEE Transactions on Visualization and Computer Graphics, 13, 1145-1152. [Google Scholar] [CrossRef
[5] Jena, A., Butler, M., Dwyer, T., et al. (2021) The Next Billion Users of Visualization. IEEE Computer Graphics and Applications, 41, 8-16. [Google Scholar] [CrossRef
[6] Yu, X., Ferreira, M.D. and Paulovich, F.V. (2021) Sen-ti-COVID19: An Interactive Visual Analytics System for Detecting Public Sentiment and Insights Regarding COVID-19 from Social Media. IEEE Access, 9, 126684-126697. [Google Scholar] [CrossRef
[7] 王战友, 赵耀培. 大数据背景下智慧养老研究综述[J]. 山东工会论坛, 2019, 25(3): 54-60.
[8] Galletta, A., Carnevale, L., Bramanti, A. and Fazio, M. (2019) An Inno-vative Methodology for Big Data Visualization for Telemedicine. IEEE Transactions on Industrial Informatics, 15, 490-497. [Google Scholar] [CrossRef
[9] El Beheiry, M., et al. (2019) Virtual Reality: Beyond Visualization. Journal of Molecular Biology, 431, 1315-1321. [Google Scholar] [CrossRef] [PubMed]
[10] 许贝贝. 虚拟现实技术支持下化学教师工作坊设计与实践[D]: [硕士学位论文]. 开封: 河南大学, 2019.
[11] Lau, C.W., Qu, Z., Draper, D., et al. (2022) Virtual Reality for the Observation of Oncology Models (VROOM): Immersive Analytics for Oncology Patient Cohorts. Scientific Reports, 12, Article No. 11337. [Google Scholar] [CrossRef] [PubMed]
[12] Yi, J.S., Kang, Y.A., Stasko, J. and Jacko, J.A. (2007) To-ward a Deeper Understanding of the Role of Interaction in Information Visualization. IEEE Transactions on Visu-alization and Computer Graphics, 13, 1224-1231. [Google Scholar] [CrossRef
[13] Steichen, B. and Fu, B. (2019) Towards Adaptive Information Visualization—A Study of Information Visualization Aids and the Role of User Cognitive Style. Frontiers in Arti-ficial Intelligence, 2, Article 22. [Google Scholar] [CrossRef] [PubMed]
[14] Firat, E.E., Joshi, A. and Laramee, R.S. (2022) VisLitE: Visual-ization Literacy and Evaluation. IEEE Computer Graphics and Applications, 42, 99-107. [Google Scholar] [CrossRef
[15] Hudiburgh, L.M. and Garbinsky, D. (2020) Data Visualiza-tion: Bringing Data to Life in an Introductory Statistics Course. Journal of Statistics Education, 28, 262-279. [Google Scholar] [CrossRef
[16] Borkin, M.A., Vo, A.A., Bylinskii, Z., et al. (2013) What Makes a Visualization Memorable. IEEE Transactions on Visualization and Computer Graphics, 19, 2306-2315. [Google Scholar] [CrossRef
[17] Hannah, M.N. (2021) A Conspiracy of Data: QAnon, Social Media, and Information Visualization. Social Media + Society, 7. [Google Scholar] [CrossRef
[18] Rubel, L.H., Nicol, C. and Chronaki, A. (2021) A Critical Mathematics Perspective on Reading Data Visualizations: Reimagining through Reformatting, Reframing, and Re-narrating. Educational Studies in Mathematics, 108, 249-268. [Google Scholar] [CrossRef] [PubMed]
[19] Matzen, L.E., Haass, M.J., Divis, K.M., Wang, Z. and Wil-son, A.T. (2018) Data Visualization Saliency Model: A Tool for Evaluating Abstract Data Visualization. IEEE Transactions on Visualization and Computer Graphics, 24, 563-573. [Google Scholar] [CrossRef
[20] Camba, J.D., Company, P. and Byrd, V.L. (2022) Identi-fying Deception as a Critical Component of Visualization Literacy. IEEE Computer Graphics and Applications, 42, 116-122. [Google Scholar] [CrossRef
[21] 夏佳志, 李杰, 陈思明, 秦红星, 刘世霞. 可视化与人工智能交叉研究综述[J]. 中国科学: 信息科学, 2021, 51(11): 1777-1801.