Library and Information Service

Library and Information Service >

2015 , Vol. 59 >Issue 21: 105 - 114

DOI: https://doi.org/10.13266/j.issn.0252-3116.2015.21.016

Study on the Interisciplinary Topics of Information Science Based on Weak Co-occurrence and Burst Detecting

  • Wei Ling ,
  • Xu Haiyun ,
  • Guo Ting ,
  • Fang Shu
Expand
  • 1. Chengdu National Science Library, Chinese Academy of Sciences, Chengdu 610041;
    2. National Science Library, Chinese Academy of Sciences, Beijing 100190;
    3. School of Information Management, Shanxi University of Finance and Economics, Taiyuan 030006

Received date: 2015-09-22

  Revised date: 2015-10-20

  Online published: 2015-11-05

Fold

Abstract

[Purpose/significance]Thkis paper, from a new research perspective, aims to study theinterdisciplinarytopics of information science at the micro level based on weak co-occurrence and burst detecting. [Method/process]High currency terms of information scientific papers were selected, the co-occurrence matrix of which was generated. We used the matrix to get a weak co-occurrence network, and analyzed research topics and their interdisciplinary ones. On the other hand, burst detecting was conducted on the high currency terms.[Result/conclusion]According to the research, the less highlighted topics in the strong co-occurrence network will become obvious in the weak co-occurrence network, which maybe the current focuses or potential focuses. The weak ties between topics can be thoroughly defined into four types, which embody the micro interdisciplinary topics of information science. The burst detecting results show thatthe hotspot trend in the research period is consistent with the clustering of strong co-occurrence network. Burst detecting has a unique advantage to reveal the new interdisciplinary topics sensitively, specifically and dynamically.

Key words： research topics; co-occurrence; weak tie; burst detecting; interdisciplinary

Cite this article

Wei Ling , Xu Haiyun , Guo Ting , Fang Shu . Study on the Interisciplinary Topics of Information Science Based on Weak Co-occurrence and Burst Detecting[J]. Library and Information Service, 2015 , 59(21) : 105 -114 . DOI: 10.13266/j.issn.0252-3116.2015.21.016

References

[1] 许海云,尹春晓,郭婷,等.学科交叉研究综述[J].图书情报工作, 2015, 59(5): 119-127.
[2] González-Alcaide G, Castelló-Cogollos L, Navarro-Molina C,et al. Library and information science research areas: Analysis of journal articles in LISA[J]. Journal of the American Society for Information Science and Technology, 2008, 59(1):150-154.
[3] Lariviere V, Sugimoto C R, Cronin B. A bibliometric chronicling of library and information science's first hundred years[J]. Journal of the American Society for Information Science and Technology, 2012, 63(5):997-1016.
[4] Järvelin K,Vakkari P.The evolution of library and information science 1965-1985:A content analysis of journal articles[J].Information Processing & Management,1993,29(1):129-144.
[5] Tuomaala O, Järvelin K,Vakkari P. Evolution of library and information science, 1965-2005: content analysis of journal articles[J].Journal of the Association for Information Science and Techonology,2014,65(7):1446-1462.
[6] 巩永强,刘莉.基于词频分析法的情报学研究热点透析[J].图书馆学研究,2011(7):9-13.
[7] 陈一,冉从敬.中外图书情报学近十五年学术聚焦研究对比研究——以《情报学报》和《美国信息科学与技术学会会志》为例[J].情报杂志,2015,34(3):112-118.
[8] 邱均平,吕红.近五年国际图书情报学研究热点、前沿及其知识基础——基于17种外文期刊知识图谱的可视化分析[J].图书情报知识,2013(3):4-15,58.
[9] Chen Guo, Xiao Lu, Hu Changping, et al. Identifying the research focus of library and information science institutions in china with institution-specific keywords[J].Scientometrics,2015,103(3):707-724.
[10] 王孝宁,崔雷,刘刚,等.突发监测算法用于共词聚类分析的尝试[J].图书情报工作,2009,53(6):104-107,120.
[11] 郑乐丹.基于突发监测的我国数字图书馆研究前沿及其演进分析[J].图书馆论坛,2013,33(1):47-51.
[12] 方丽,赵悦阳,崔雷.利用突发监测算法探测学科前沿及知识基础[J].医学信息学杂志,2014,35(10):49-54.
[13] 许海云,郭婷,岳増慧.情报学学科交叉态势可视化研究[J].情报理论与实践, 2015, 56(9):49-54.
[14] 冯璐,冷伏海.共词分析方法理论进展[J].中国图书馆学报,2006(2):88-92.
[15] 廖胜姣,肖仙桃.基于文献计量的共词分析研究进展[J].情报科学,2008, 26(6):855-859.
[16] Granovetter M S. The Strength of Weak Ties[J]. American Journal of Sociology, 1973, 78(6):1360-1380.
[17] 魏春梅, 盛小平.弱关系与强关系理论及其在信息共享中的应用研究综述[J].图书馆, 2014(4):18-21.
[18] 蔡宁,潘松挺.网络关系强度与企业技术创新模式的耦合性及其协同演化——以海正药业技术创新网络为例[J].中国工业经济,2008(4):137-144.
[19] 张英杰.科技领域前沿计量探测方法研究[D].北京:中国科学院文献情报中心,2011: 5.
[20] Kleinbeng J. Bursty and Hierarchical Structure in Streams[J]. Data Mining and Knowledge Discovery, 2003, 7(4):373-397.
[21] 李春景,刘仲林.现代科学发展学科交叉模式探析——一种学科交叉模式的分析框架[J].科学学研究,2004(3):244-248.
[22] Thomson Reuters.Web of Science[EB/OL].[2015-07-11]. http://wokinfo.com/.
[23] 韦艳艳,陈墀成.学科交叉现象的本质探析——基于在对交叉学科现象的研究中的某些论述的分析[J].长沙理工大学学报(社会科学版), 2011, 26(6):24-28, 40.
[24] Sci2 Team. Science of science(Sci2)tool. Indiana University and SciTech Strategies[EB/OL].[2015-07-11]. https://sci2.cns.iu.edu.

Options
Outlines

/

〈 〉

    Copyrights © LIS Press Co., Ltd. Reproduction is prohibited without permission.