Revealing role of the Korean Physics Society with keyword co-occurrence network

被引:0
|
作者
Jo, Seonbin [1 ]
Park, Chanung [2 ]
Lee, Jungwoo [2 ]
Yoon, Jisung [3 ]
Jung, Woo-Sung [1 ,2 ,3 ,4 ]
机构
[1] Pohang Univ Sci & Technol, Dept Phys, Pohang 37673, South Korea
[2] Pohang Univ Sci & Technol, Div Social Data Sci, Pohang 37673, South Korea
[3] Pohang Univ Sci & Technol, Dept Ind & Management Engn, Pohang 37673, South Korea
[4] Pohang Univ Sci & Technol, Grad Sch Artificial Intelligence, Pohang 37673, South Korea
基金
新加坡国家研究基金会;
关键词
Keyword co-occurrence network; PageRank; Korean Physics Society; Physics and High Technology; TECHNOLOGY;
D O I
10.1007/s40042-022-00548-1
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Science and society inevitably interact with each other and evolve together. Studying the trend of science helps recognize leading topics significant for research and establish better policies to allocate funds efficiently. Scholarly societies such as the Korean Physics Society (KPS) also play an important role in the history of science. Figuring out the role of these scholarly societies motivate our research related with our society since societies pay attention to improve our society. Although several studies try to capture the trend of science leveraging scientific documents such as paper or patents, these studies limited their research scope only to the academic world, neglecting the interaction with society. Here we tried to understand the trend of science along with society using a public magazine named Physics and High Technology, published by the KPS. We built keyword co-occurrence networks for each time period and applied community detection to capture the keyword structure and tracked the structure's evolution. In the networks, a research-related cluster is consistently dominant over time, and sub-clusters of the research-related cluster divide into various fields of physics, implying specialization of the physics discipline. Also, we found that education and policy clusters appear consistently, revealing the KPS's contribution to science and society. Furthermore, we applied PageRank algorithm to selected keywords ("semiconductor", "woman", "evading", etc.) to investigate the temporal change of the importance of keywords in the network. For example, the importance of the keyword "woman" increases as time goes by, indicating that academia also pays attention to gender issues reflecting the social movement in recent years.
引用
收藏
页码:368 / 376
页数:9
相关论文
共 50 条
  • [21] A Metric Approach to Hot Topics in Biomedicine via Keyword Co-occurrence
    Jane H.Qin
    Jean J.Wang
    Fred Y.Ye
    Journal of Data and Information Science, 2019, (04) : 13 - 25
  • [22] Improving the Keyword Co-occurrence Analysis: An Integrated Semantic Similarity Approach
    Bhuyan, A.
    Sanguri, K.
    Sharma, H.
    2021 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEE IEEM21), 2021, : 482 - 487
  • [23] A Metric Approach to Hot Topics in Biomedicine via Keyword Co-occurrence
    Qin, Jane H.
    Wang, Jean J.
    Ye, Fred Y.
    JOURNAL OF DATA AND INFORMATION SCIENCE, 2019, 4 (04) : 13 - 25
  • [24] Trends in Adopting BIM, IoT and DT for Facility Management: A Scientometric Analysis and Keyword Co-Occurrence Network Review
    Siccardi, Stefania
    Villa, Valentina
    BUILDINGS, 2023, 13 (01)
  • [25] Social network of co-occurrence in news articles
    Özgür, A
    Bingol, H
    COMPUTER AND INFORMATION SCIENCES - ISCIS 2004, PROCEEDINGS, 2004, 3280 : 688 - 695
  • [26] Chinese keyword extraction based on N-gram and word co-occurrence
    Jiao, Hui
    Liu, Qian
    Jia, Hui-bo
    CIS WORKSHOPS 2007: INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY WORKSHOPS, 2007, : 152 - +
  • [27] A co-occurrence based approach of automatic keyword expansion using mass diffusion
    Yin, Xicheng
    Wang, Hongwei
    Yin, Pei
    Zhu, Hengmin
    Zhang, Zhenyu
    SCIENTOMETRICS, 2020, 124 (03) : 1885 - 1905
  • [28] Proposal of Chance Index in Co-occurrence Network
    Takayama, Yukihiro
    Saga, Ryosuke
    ELECTRONICS AND COMMUNICATIONS IN JAPAN, 2016, 99 (12) : 65 - 73
  • [29] Proposal of chance index in co-occurrence network
    Takayama, Yukihiro
    Saga, Ryosuke
    IEEJ Transactions on Electronics, Information and Systems, 2015, 135 (06) : 644 - 650
  • [30] The structure of word co-occurrence network for microblogs
    Garg, Muskan
    Kumar, Mukesh
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 512 : 698 - 720