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Scientometrics
Authors: Katy Börner, Weixia Huang, Micah Linnemeier, Russell Duhon, Patrick Phillips, Nianli Ma, Angela Zoss, Hanning Guo, and Mark Price

Abstract  

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.

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Abstract  

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.

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Abstract  

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 theory.

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Scientometrics
Authors: J. Meyer, J. Charum, J. Granés, and Y. Chatelin

Abstract  

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.

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The functional anatomy of science mapping

Katy Börner: Atlas of science: visualizing what we know. The MIT Press, Cambridge, MA/London, UK, 2010, US$20

Scientometrics
Author: Sándor Soós

Spotlight). On the other extreme, one can study the work of Daniel Zeller, called the “Hypothetical model of the evolution of science”. Zeller is, as the biography reveals, primarily an artist, a sculptor. His work is a metaphor embodied in a sculpture

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innovation concept knowledge-base (STICK): monitoring, understanding, and advancing the (r)evolution of science & technology innovations Science of science policy Standard grant 3

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.1038/36675 . Zitt , M , Barre , R , Sigogneau , A , Laville , F 1999 Territorial concentration and evolution of science and technology activities in the European Union: A descriptive analysis . Research Policy 28 : 545 – 562 10.1016/S0048-7333(99)00012-8 .

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.1108/14666180010327429 . 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 evolution of science

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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 evolution of

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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 evolution of science, Kuhn argues creative people must be peripheral, to keep

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