全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

近20年国内学者关于涌现的研究热点及趋势分析——基于知识图谱的可视化分析
In the Past 20 Years, Domestic Scholars Have Analyzed the Emerging Research Hotspots and Trends—Visual Analysis Based on Knowledge Graph

DOI: 10.12677/orf.2024.142127, PP. 209-217

Keywords: 涌现,研究热点,前沿演进,可视化分析
Emerging
, Research Hotspots, Frontier Evolution, Visual Analytics

Full-Text   Cite this paper   Add to My Lib

Abstract:

目的:通过对2003~2023年我国涌现研究,分析涌现的热点主题和前沿演进,对研究涌现领域的发展具有重要意义。方法:本文文献计量学的方法,以20年期间对涌现主题文献研究的发文数量、作者合作、机构合作登整体情况加以描述并对结果进行比较。结果:自2005年之后,每年的研究数量均超过超过30篇。在研究热点上,涌现的研究热点有:涌现性、涌现机理、复杂网络、复杂系统、自组织等。涌现研究的最新前沿集中在复杂网络、复杂系统、涌现性和自组织等方面。但涌现研究在机构合作上研究较少。讨论:建议未来研究应树立多学科视角、加强跨机构、跨领域的合作等进行深层次的研究分析。
Objective: It is of great significance to analyze the emerging hot topics and frontier evolution of emergences in China from 2003 to 2023. Methods: In this paper, the bibliometric method was used to describe the number of publications, author cooperation, and institutional cooperation of emerging theme literature research over a 20-year period, and the results were compared. Results: Since 2005, the number of studies has exceeded 30 per year, and the emerging research hotspots include: emergence, emergence, emergence mechanism, complex network, complex system, self-organization, etc. The latest frontiers in emergent research focus on complex networks, complex systems, emergence, and self-organization. However, there are fewer studies on institutional collaboration. Discussion: It was suggested that future research should establish a multidisciplinary perspective, strengthen cross-institutional and cross-field cooperation, and conduct in-depth research and analysis.

References

[1]  Anderson, R.A., Crabtree, B.F. and Steele, D.J. (2005) Case Study Research: The View from Complexity Science. Qualitative Health Research, 15, 669-685.
https://doi.org/10.1177/1049732305275208
[2]  Benyamin, B.L. and Donde, A.P. (2009) The Leadership of Emergence: A Complex Systems Leadership Theory of Emergence at Successive Organizational Levels. The Leadership Quarterly, 20, 617-630.
https://doi.org/10.1016/j.leaqua.2009.04.006
[3]  范冬萍. 复杂性科学哲学视野中的突现性[J]. 哲学研究, 2010(11): 102-107, 129.
[4]  Karil, T. (2014) Complexity-Based Theories of Emergence: Criticisms and Constraints. International Studies in the Philosophy of Science, 28, 277-301.
https://doi.org/10.1080/02698595.2014.953342
[5]  王亮家. 以涌现重审人工智能范式的智能实现[J]. 科技传播, 2022, 14(2): 113-117.
[6]  李祥俊. 性智、量智与涵养——熊十力量论的思想内涵与理论推衍[J]. 杭州师范大学学报(社会科学版), 2013(3): 1-7.
[7]  陈悦, 陈超美, 刘则渊, 胡志刚, 王贤文. CiteSpace知识图谱的方法论功能[J]. 科学学研究, 2015, 33(2): 242-253.
[8]  陈悦, 陈超美. 引文空间分析原理与应用: CiteSpace实用指南[M]. 北京: 科学出版社, 2014: 12-16.
[9]  熊金璐, 于迪, 宋来辉, 等. 基于CiteSpace的矿物药研究现状可视化分析[J]. 中草药, 2021, 53(4): 1105-1116.
[10]  丁学东. 文献计量学基础[M]. 北京: 北京大学出版社, 1992.
[11]  胡臻, 张阳. 基于普赖斯定律与综合指数法的核心作者和扩展核心作者分析——以《西南民族大学学报》 (自然科学版)为例[J]. 西南民族大学学报(自然科学版), 2016, 42(3): 351-354.
[12]  邱淞, 潘黎, 侯剑华. 国际特殊教育研究的热点领域和前沿演进——基于SSCI中最有影响力的十种特殊教育期刊文献的计量和可视化分析[J]. 中国特殊教育, 2013(7): 8-16.
[13]  林德明, 陈超美, 刘则渊. 共被引网络中介中心性的Zipf-Pareto分布研究[J]. 情报学报, 2011, 30(1): 76-82.
[14]  Holland, J. (1998) Emergence from Chaos to Order. Helix Books, Delaware, 115-124.
https://doi.org/10.1093/oso/9780198504092.001.0001
[15]  欧阳莹之. 复杂系统理论基础[M]. 田宝国, 周亚, 樊瑛, 译. 上海: 上海科技教育出版社, 2002.
[16]  陈伟, 金福. 霍兰的涌现性思想评析[J]. 沈阳师范大学学报(社会科学版), 2008, 32(1): 4-8.
[17]  戴晓彬, 张轩钰, 高丽娟, 燕立唐. 强熵效应与大分子体系的熵调控[J]. 高分子学报, 2021, 52(9): 1076-1099.
[18]  江少钦, 余雪佳, 徐莉梅. 无序复杂系统中的序——2021年诺贝尔物理学奖解读[J]. 大学物理, 2022, 41(2): 7-14, 62.
[19]  马满福, 郭晨彪, 李勇, 张钟颖, 张强, 王常青. 基于结构熵的注意力流网络异构性研究[J]. 计算机工程与应用, 2021, 57(23): 98-105.
[20]  Boccaletti, S., Latora, V., Moreno, Y., et al. (2006) Complex Networks: Structure and Dynamics. Physics Reports, 424, 175-308.
https://doi.org/10.1016/j.physrep.2005.10.009
[21]  Vazquez, A., Dobrin, R., Sergi, D., et al. (2004) The Topological Relationship between the Large-Scale Attributes and Local Interaction Patterns of Complex Networks. Proceedings of the National Academy of Sciences of the United States of America, 101, 17940-17945.
https://doi.org/10.1073/pnas.0406024101
[22]  Koza, J. (1995) Hidden Order: How Adaptation Builds Complexity. Artificial Life, 2, 333-335.
https://doi.org/10.1162/artl.1995.2.333
[23]  刘一新, 张卓. 中国协同创新研究热点与发展趋势分析——基于CiteSpace可视化分析[J]. 管理现代化, 2021, 41(1): 39-43.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133