Large-scale temporal analysis of computer and information science

Sandor Soos, George Kampis, László Gulyás

In: The European Physical Journal - Special Topics (EPJ ST) 222 6 Seiten 1441-1465 Springer Berlin Heidelberg 2013.


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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Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence