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;
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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.
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页码:1441 / 1465
页数:24
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