Visualization of Disciplinary Profiles: Enhanced Science Overlay Maps

Abstract Purpose The purpose of this study is to modernize previous work on science overlay maps by updating the underlying citation matrix, generating new clusters of scientific disciplines, enhancing visualizations, and providing more accessible means for analysts to generate their own maps. Design/methodology/approach We use the combined set of 2015 Journal Citation Reports for the Science Citation Index (n of journals = 8,778) and the Social Sciences Citation Index (n = 3,212) for a total of 11,365 journals. The set of Web of Science Categories in the Science Citation Index and the Social Sciences Citation Index increased from 224 in 2010 to 227 in 2015. Using dedicated software, a matrix of 227 × 227 cells is generated on the basis of whole-number citation counting. We normalize this matrix using the cosine function. We first develop the citing-side, cosine-normalized map using 2015 data and VOSviewer visualization with default parameter values. A routine for making overlays on the basis of the map (“wc15.exe”) is available at http://www.leydesdorff.net/wc15/index.htm. Findings Findings appear in the form of visuals throughout the manuscript. In Figures 1–9 we provide basemaps of science and science overlay maps for a number of companies, universities, and technologies. Research limitations As Web of Science Categories change and/or are updated so is the need to update the routine we provide. Also, to apply the routine we provide users need access to the Web of Science. Practical implications Visualization of science overlay maps is now more accurate and true to the 2015 Journal Citation Reports than was the case with the previous version of the routine advanced in our paper. Originality/value The routine we advance allows users to visualize science overlay maps in VOSviewer using data from more recent Journal Citation Reports.

[1]  Loet Leydesdorff,et al.  The structure of the Arts & Humanities Citation Index: A mapping on the basis of aggregated citations among 1,157 journals , 2011, J. Assoc. Inf. Sci. Technol..

[2]  Ludo Waltman,et al.  Software survey: VOSviewer, a computer program for bibliometric mapping , 2009, Scientometrics.

[3]  Vladimir Batagelj,et al.  Exploratory social network analysis with Pajek. - 2nd ed. , 2011 .

[4]  Anthony F. J. van Raan,et al.  Citation Analysis May Severely Underestimate the Impact of Clinical Research as Compared to Basic Research , 2012, PloS one.

[5]  Stephen J. Bensman,et al.  Definition and identification of journals as bibliographic and subject entities: Librarianship versus ISI Journal Citation Reports methods and their effect on citation measures , 2009 .

[6]  Matthew L. Wallace,et al.  Research Portfolio Analysis in Science Policy: Moving from Financial Returns to Societal Benefits , 2014 .

[7]  Thed N. van Leeuwen,et al.  A bibliometric classificatory approach for the study and assessment of research performance at the individual level: The effects of age on productivity and impact , 2010, J. Assoc. Inf. Sci. Technol..

[8]  Ismael Rafols,et al.  Diversity and network coherence as indicators of interdisciplinarity: case studies in bionanoscience , 2009, Scientometrics.

[9]  Jean-Loup Guillaume,et al.  Fast unfolding of communities in large networks , 2008, 0803.0476.

[10]  Loet Leydesdorff,et al.  The operationalization of “fields” as WoS subject categories (WCs) in evaluative bibliometrics: The cases of “library and information science” and “science & technology studies” , 2014, J. Assoc. Inf. Sci. Technol..

[11]  Ismael Rafols,et al.  A global map of science based on the ISI subject categories , 2009, J. Assoc. Inf. Sci. Technol..

[12]  Kevin W. Boyack,et al.  Toward a consensus map of science , 2009 .

[13]  Michel Zitt,et al.  Shadows of the Past in International Cooperation: Collaboration Profiles of the Top Five Producers of Science , 2000, Scientometrics.

[14]  Wolfgang Glänzel,et al.  Diversity of references as an indicator of the interdisciplinarity of journals: Taking similarity between subject fields into account , 2016, J. Assoc. Inf. Sci. Technol..

[15]  W. Glänzel,et al.  Relative indicators of publication output and citation impact of european physics research, 1978–1980 , 1986 .

[16]  Ismael Rafols,et al.  Is science becoming more interdisciplinary? Measuring and mapping six research fields over time , 2009, Scientometrics.

[17]  Alan L. Porter,et al.  Facilitating social and natural science cross-disciplinarity: Assessing the human and social dynamics program , 2013 .

[18]  Kevin W. Boyack,et al.  Which Type of Citation Analysis Generates the Most Accurate Taxonomy of Scientific and Technical Knowledge? , 2015, J. Assoc. Inf. Sci. Technol..

[19]  Alan L. Porter,et al.  Measuring researcher interdisciplinarity , 2007, Scientometrics.

[20]  A. Stirling A general framework for analysing diversity in science, technology and society , 2007, Journal of The Royal Society Interface.

[21]  Nees Jan van Eck,et al.  How to normalize cooccurrence data? An analysis of some well-known similarity measures , 2009, J. Assoc. Inf. Sci. Technol..

[22]  Ismael Rafols,et al.  Content-based and algorithmic classifications of journals: Perspectives on the dynamics of scientific communication and indexer effects , 2008, J. Assoc. Inf. Sci. Technol..

[23]  George Kampis,et al.  Towards a typology of research performance diversity: the case of top Hungarian players , 2011, Scientometrics.

[24]  van Eck Nees Jan,et al.  How to normalize cooccurrence data An analysis of some well-known similarity measures , 2009 .

[25]  A. Jaffe Technological Opportunity and Spillovers of R&D: Evidence from Firms&Apos; Patents, Profits and Market Value , 1986 .

[26]  Qi Wang,et al.  Large-scale analysis of the accuracy of the journal classification systems of Web of Science and Scopus , 2015, J. Informetrics.

[27]  Ronald Rousseau,et al.  Is the expertise of evaluation panels congruent with the research interests of the research groups: A quantitative approach based on barycenters , 2015, J. Informetrics.

[28]  Calyampudi R. Rao Diversity and dissimilarity coefficients: A unified approach☆ , 1982 .

[29]  Kevin W. Boyack,et al.  Mapping the structure and evolution of chemistry research , 2009, Scientometrics.

[30]  Ismael Rafols,et al.  Global maps of science based on the new Web-of-Science categories , 2012, Scientometrics.

[31]  Wolfgang Glänzel,et al.  Scientometric datafiles. A comprehensive set of indicators on 2649 journals and 96 countries in all major science fields and subfields 1981–1985 , 1989, Scientometrics.

[32]  Wolfgang Glänzel,et al.  A new classification scheme of science fields and subfields designed for scientometric evaluation purposes , 2004, Scientometrics.

[33]  Paul Wouters,et al.  The signs of science , 2006, Scientometrics.

[34]  Loet Leydesdorff,et al.  On the normalization and visualization of author co-citation data: Salton's Cosine versus the Jaccard index , 2009, J. Assoc. Inf. Sci. Technol..

[35]  Alexander I. Pudovkin,et al.  Algorithmic procedure for finding semantically related journals , 2002, J. Assoc. Inf. Sci. Technol..

[36]  Thed N. van Leeuwen,et al.  New bibliometric tools for the assessment of national research performance: Database description, overview of indicators and first applications , 1995, Scientometrics.

[37]  María Bordons,et al.  Time-tracking of the research profile of a drug using bibliometric to , 2004, J. Assoc. Inf. Sci. Technol..

[38]  Alan L. Porter,et al.  Science overlay maps: A new tool for research policy and library management , 2009, J. Assoc. Inf. Sci. Technol..

[39]  Ed C. M. Noyons,et al.  A unified approach to mapping and clustering of bibliometric networks , 2010, J. Informetrics.

[40]  Ludo Waltman,et al.  A new methodology for constructing a publication-level classification system of science , 2012, J. Assoc. Inf. Sci. Technol..

[41]  Isabel Gómez,et al.  An approach to interdisciplinarity through bibliometric indicators , 2001, Scientometrics.

[42]  Peter Vinkler,et al.  Evaluation of some methods for the relative assessment of scientific publications , 1986, Scientometrics.

[43]  Thed N. van Leeuwen,et al.  Redefining the field of economics: Improving field normalization for the application of bibliometric techniques in the field of economics , 2012 .

[44]  Alan L. Porter,et al.  A forward diversity index , 2011, Scientometrics.

[45]  Kevin W. Boyack,et al.  Toward a consensus map of science , 2009, J. Assoc. Inf. Sci. Technol..