Authors:Katy Börner, Weixia Huang, Micah Linnemeier, Russell Duhon, Patrick Phillips, Nianli Ma, Angela Zoss, Hanning Guo, and Mark Price
The enormous increase in digital scholarly data and computing power combined with recent advances in text mining, linguistics,
network science, and scientometrics make it possible to scientifically study the structure and evolution of science on a large
scale. This paper discusses the challenges of this ‘BIG science of science’—also called ‘computational scientometrics’ research—in
terms of data access, algorithm scalability, repeatability, as well as result communication and interpretation. It then introduces
two infrastructures: (1) the Scholarly Database (SDB) (http://sdb.slis.indiana.edu), which provides free online access to 22 million scholarly records—papers, patents, and funding awards which can be cross-searched
and downloaded as dumps, and (2) Scientometrics-relevant plug-ins of the open-source Network Workbench (NWB) Tool (http://nwb.slis.indiana.edu). The utility of these infrastructures is then exemplarily demonstrated in three studies: a comparison of the funding portfolios
and co-investigator networks of different universities, an examination of paper-citation and co-author networks of major network
science researchers, and an analysis of topic bursts in streams of text. The article concludes with a discussion of related
work that aims to provide practically useful and theoretically grounded cyberinfrastructure in support of computational scientometrics
research, education and practice.
We utilize the bibliometric tool of co-word analysis to identify trends in the methods and subjects of ecology during the
period 1970–2005. Few previous co-word analyses have attempted to analyze fields as large as ecology. We utilize a method
of isolating concepts and methods in large datasets that undergo the most significant upward and downward trends. Our analysis
identifies policy-relevant trends in the field of ecology, a discipline that helps to identify and frame many contemporary
policy problems. The results provide a new foundation for exploring the relations among public policies, technological change,
and the evolution of science priorities.
In this paper we analyse the growth in scientific results of natural sciences in terms of infinite dynamical system theory.
We use functional differential equations to model the evolution of science in its sociological aspect. Our model includes
the time-to-build of fundamental notions in science (time required to understand them). We show that the delay parameter describing
time required to learn and to apply past scientific results to new discoveries plays a crucial role in generating cyclic behaviour
via the Hopf bifurcation scenario. Our model extends the de Solla Price model by including death of results as well as by
incorporating the time-to-build notion. We also discuss the concepts of knowledge and its accumulation used in economic growth
Authors:J. Meyer, J. Charum, J. Granés, and Y. Chatelin
Using recent original data from three different sources, the article exhibits some strengths and weaknesses of science in Colombia. It shows that research in this country is in a process of growth although recent results of this positive trend are still to be confirmed. Comparing the evolution of science in Colombia with that of Latin America as a whole, describing and explaining its geographical and institutional concentration as well as its thematic distribution, it also reveals the interdependance between science production dynamics and international cooperation programmes. A basic argument is that the development of science in this country, even though it is fragile and erratic, does not lack sound bases. The indicators used suggest indeed an autonomous scientific motion and inspiration which does not contradict the internationalization process of Colombian science but rectifies the picture of an excessively isolated or dependent community that used to be portrayed.
On the other extreme, one can study the work of Daniel Zeller, called the “Hypothetical model of the evolutionofscience”. Zeller is, as the biography reveals, primarily an artist, a sculptor. His work is a metaphor embodied in a sculpture
Zitt , M , Barre , R , Sigogneau , A , Laville , F 1999 Territorial concentration and evolutionofscience and technology activities in the European Union: A descriptive analysis . Research Policy 28 : 545 – 562 10.1016/S0048-7333(99)00012-8 .
Authors:Peter A. Schulz and Edmilson J. T. Manganote
Kostoff , RN . The use and misuse of citation analysis in research evaluation . Scientometrics 1998 43 1 27 – 43 10.1007/BF02458392 .
Leydesdorff , L . Evaluation of research and evolutionofscience
Authors:Krisztina Károly, Bea Winkler, and Péter Kiszl
publication activity of scholars working outside of Europe has risen drastically, (4) conducting empirical studies using meticulously designed research methods is the norm, (5) new focuses and themes of research constantly evolve (in line with the evolutionof
is no consensus on exactly where creative people can be found: at the periphery of the community, at the center, or in a brokerage position.
In his analysis of the evolutionofscience, Kuhn argues creative people must be peripheral, to keep