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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

Text mining was used to extract technical intelligence from the open source global SARS research literature. A SARS-focused query was applied to the Science Citation Index (SCI) (SCI 2008) database for the period 1998–early 2008. The SARS research literature infrastructure (prolific authors, key journals/institutions/countries, most cited authors/journals/documents) was obtained using bibliometrics, and the SARS research literature technical structure (hierarchical taxonomy) was obtained using computational linguistics/document clustering.

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Katy Börner: Atlas of science: visualizing what we know

The MIT Press, Cambridge, MA/London, UK, 2010, US$20

Scientometrics
Author: Loet Leydesdorff

Science ( http://cns.iu.edu ) of the School of Library and Information Sciences (Indiana University, Bloomington, IN). Open-source software is thus made available systematically in an integrated environment. This major effort and strong development has now

Open access

Understanding the role of open peer review and dynamic academic articles

Authors’ reply to “Problems with natural selection of academic papers”

Scientometrics
Authors: Pandelis Perakakis, Michael Taylor, Marco G. Mazza, and Varvara Trachana

expected, therefore, that as more and more scholars submit reviews that start to build an interconnected network, a natural consensus on the quality and relevance of submitted manuscripts is bound to emerge. As the creator of open source Linux, Linus

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Scientometrics
Authors: Ronald Kostoff, Raymond Koytcheff, and Clifford Lau

Abstract  

Text mining was used to extract technical intelligence from the open source global nanotechnology and nanoscience research literature. An extensive nanotechnology/nanoscience-focused query was applied to the Science Citation Index/Social Science Citation Index (SCI/SSCI) databases. The nanotechnology/nanoscience research literature infrastructure (prolific authors, key journals/institutions/countries, most cited authors/journals/documents) was obtained using bibliometrics. A novel addition was the use of institution and country auto-correlation maps to show co-publishing networks among institutions and among countries, and the use of institution-phrase and country-phrase cross-correlation maps to show institution networks and country networks based on use of common terminology (proxy for common interests). The use of factor matrices quantified further the strength of the linkages among institutions and among countries, and validated the co-publishing networks shown graphically on the maps.

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12 64 Library science 12 65 Open source software 11

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Scientometrics
Authors: Saeed-Ul Hassan, Peter Haddawy, Pratikshya Kuinkel, Alexander Degelsegger, and Cosima Blasy

Early Warning Systems for Disaster Risk Reduction; Biofuels; Development and Application of Open Source Systems; Health; Functional Food; and Climate Change. The authors are grateful to Surendra Sedhai at UNU-IIST/Macao and to

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science Wiley Chichester . Bastian , M. , Heymann , S. , & Jacomy , M. ( 2009 ). Gephi: An open source software for exploring and manipulating networks . Proc 3rd Intl ICWSM Conf

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, Johnson , KF 2004 MedlineR: an open source library in R for medline literature data mining . Bioinformatics 20 8 3659 – 3661 10.1093/bioinformatics/bth404 . Musgrove , PB , Binns , R , Page

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. This shows clearly how the organizers of online innovation groups exhibit different patterns of communicative activities to those of social gathering groups. During this process, we used NodeXL, an open source software tool (Hansen et al. 2010

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