Large-scale temporal analysis of computer and information science

被引:0
|
作者
Sandor Soos
George Kampis
László Gulyás
机构
[1] Library of the Hungarian Academy of Sciences (MTA),Dept. Science Policy and Scientometrics
[2] Eötvös Loránd University,undefined
[3] PetaByte Research Ltd.,undefined
[4] DFKI (German Research Institute for Artificial Intelligence),undefined
关键词
European Physical Journal Special Topic; Network Size; Giant Component; Bibliographic Coupling; Science Mapping;
D O I
暂无
中图分类号
学科分类号
摘要
The main aim of the project reported in this paper was twofold. One of the primary goals was to produce an extensive source of network data for bibliometric analyses of field dynamics in the case of Computer and Information Science. To this end, we rendered the raw material of the DBLP computer and infoscience bibliography into a comprehensive collection of dynamic network data, promptly available for further statistical analysis. The other goal was to demonstrate the value of our data source via its use in mapping Computer and Information Science (CIS). An analysis of the evolution of CIS was performed in terms of collaboration (co-authorship) network dynamics. Dynamic network analysis covered three quarters of the XX. century (76 years, from 1936 to date). Network evolution was described both at the macro- and the mezo level (in terms of community characteristics). Results show that the development of CIS followed what appears to be a universal pattern of growing into a “mature” discipline.
引用
收藏
页码:1441 / 1465
页数:24
相关论文
共 50 条
  • [21] Information and Knowledge Assisted Analysis and Visualization of Large-Scale Data
    Wang, Chaoli
    Ma, Kwan-Liu
    ULTRA VIS: 2008 WORKSHOP ON ULTRASCALE VISUALIZATION, 2008, : 1 - 8
  • [22] INFORMATION ENHANCEMENT METHODS FOR LARGE-SCALE SEQUENCE-ANALYSIS
    CLAVERIE, JM
    STATES, DJ
    COMPUTERS & CHEMISTRY, 1993, 17 (02): : 191 - 201
  • [23] Information visualization and large-scale repositories
    Collins, Linn Marks
    Hussell, Jeremy A. T.
    Hettinga, Robert K.
    Powell, James E.
    Mane, Ketan K.
    Martinez, Mark L. B.
    LIBRARY HI TECH, 2007, 25 (03) : 366 - 378
  • [24] COMPUTER METHODS IN ANALYSIS OF LARGE-SCALE SOCIAL SYSTEMS - BESHERS,JM
    SEDELOW, WA
    SOCIAL FORCES, 1966, 45 (02) : 291 - 291
  • [25] Analysis of large-scale brain data for brain-computer interfaces
    Das, Koel
    Meyer, Joerg
    Nenadic, Zoran
    2006 28TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-15, 2006, : 2167 - +
  • [26] Large-scale forecasting of information spreading
    Severiukhina, Oksana
    Kesarev, Sergey
    Bochenina, Klavdiya
    Boukhanovsky, Alexander
    Lees, Michael H.
    Sloot, Peter M. A.
    JOURNAL OF BIG DATA, 2020, 7 (01)
  • [27] COMPUTER METHODS IN ANALYSIS OF LARGE-SCALE SOCIAL SYSTEMS - BESHERS,JM
    GULLAHORN, JT
    AMERICAN SOCIOLOGICAL REVIEW, 1966, 31 (01) : 134 - 135
  • [28] COMPUTER METHODS IN ANALYSIS OF LARGE-SCALE SOCIAL SYSTEMS - BESHERS,J
    NORMAN, P
    URBAN STUDIES, 1968, 5 (03) : 358 - 359
  • [29] COMPUTER METHODS IN ANALYSIS OF LARGE-SCALE SOCIAL SYSTEMS - BESHERS,JM
    MILLER, DW
    MANAGEMENT SCIENCE SERIES B-APPLICATION, 1969, 16 (02): : B153 - B153
  • [30] Towards large-scale information integration
    Anderson, KM
    Sherba, SA
    Lepthien, WV
    ICSE 2002: PROCEEDINGS OF THE 24TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, 2002, : 524 - 534