Large-scale temporal analysis of computer and information science

被引:4
|
作者
Soos, Sandor
Kampis, George [1 ,2 ,3 ]
Gulyas, Laszlo [1 ,2 ]
机构
[1] Eotvos Lorand Univ, H-1117 Budapest, Hungary
[2] PetaByte Res Ltd, H-1113 Budapest, Hungary
[3] DFKI German Res Inst Artificial Intelligence, D-67663 Kaiserslautern, Germany
来源
关键词
NETWORK; LIBRARY; MAPS;
D O I
10.1140/epjst/e2013-01936-6
中图分类号
O4 [物理学];
学科分类号
0702 ;
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:25
相关论文
共 50 条
  • [1] Large-scale temporal analysis of computer and information science
    Sandor Soos
    George Kampis
    László Gulyás
    [J]. The European Physical Journal Special Topics, 2013, 222 : 1441 - 1465
  • [2] Automation of Large-scale Computer Cluster Monitoring Information Analysis
    Magradze, Erekle
    Nadal, Jordi
    Quadt, Arnulf
    Kawamura, Gen
    Musheghyan, Haykuhi
    [J]. 21ST INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY AND NUCLEAR PHYSICS (CHEP2015), PARTS 1-9, 2015, 664
  • [3] The Importance of Large-Scale Vision Science in Psychology, Neuroscience, and Computer Science
    Hebart, Martin N.
    Zheng, Charles Y.
    Dickter, Adam H.
    Kidder, Alexis
    Kwok, Wan Y.
    Corriveau, Anna
    Van Wicklin, Caitlin
    Pereira, Francisco
    Baker, Chris I.
    [J]. PERCEPTION, 2019, 48 : 5 - 5
  • [4] The Computer Science Ontology: A Large-Scale Taxonomy of Research Areas
    Salatino, Angelo A.
    Thanapalasingam, Thiviyan
    Mannocci, Andrea
    Osborne, Francesco
    Motta, Enrico
    [J]. SEMANTIC WEB - ISWC 2018, PT II, 2018, 11137 : 187 - 205
  • [5] Large-scale science
    Ted Agres
    [J]. Genome Biology, 4 (1)
  • [6] Analysis of large-scale social and information networks
    Kleinberg, Jon
    [J]. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2013, 371 (1987):
  • [7] Analysis of large-scale distributed information systems
    Hellerstein, JL
    Jayram, TS
    Squillante, MS
    [J]. 8TH INTERNATIONAL SYMPOSIUM ON MODELING, ANALYSIS AND SIMULATION OF COMPUTER AND TELECOMMUNICATION SYSTEMS, PROCEEDINGS, 2000, : 164 - 171
  • [8] ASYMPTOTIC ANALYSIS OF PERFORMANCE OF LARGE-SCALE COMPUTER STRUCTURES
    BOGUSLAVSKIJ, LB
    KOGAN, JA
    [J]. AVTOMATIKA I VYCHISLITELNAYA TEKHNIKA, 1983, (05): : 73 - 79
  • [9] Chameleon: A Large-Scale, Deeply Reconfigurable Testbed for Computer Science Research
    Keahey, Kate
    Mambretti, Joe
    Ruth, Paul
    Stanzione, Dan
    [J]. 2019 IEEE 27TH INTERNATIONAL CONFERENCE ON NETWORK PROTOCOLS (IEEE ICNP), 2019,
  • [10] MODEL OF OPTIMIZATION OF THE STRUCTURE OF LARGE-SCALE INFORMATION COMPUTER-NETWORKS
    ZAKHAROV, GP
    LOKHMOTKO, VV
    [J]. AVTOMATIKA I VYCHISLITELNAYA TEKHNIKA, 1985, (03): : 19 - 23