View More View Less
  • 1 National Science Library, Chinese Academy of Sciences, Beijing 100190, People's Republic of China
  • 2 Faculty of Engineering Technology, KHBO (Association KU Leuven), Zeedijk 101, 8400, Oostende, Belgium; ronald.rousseau@khbo.be
  • 3 IBW – IOIW, University of Antwerp (UA), Stadscampus, Venusstraat 35, 2000, Antwerpen, Belgium
  • 4 Department of Mathematics, KU Leuven, Celestijnenlaan 200B, 3000, Leuven, Belgium
  • 5 Institute of Policy and Management, Chinese Academy of Sciences, Beijing 100190, People's Republic of China
Restricted access

Abstract

Building on the ideas of Stirling (J R Soc Interface, 4(15), 707–719, ) and Rafols and Meyer (Scientometrics, 82(2), 263–287, ), we borrow models of genetic distance based on gene diversity and propose a general conceptual framework to investigate the diversity within and among systems and the similarity between systems. This framework can be used to reveal the relationship of systems weighted by the similarity of the corresponding categories. Application of the framework to scientometrics is explored to evaluate the balance of national disciplinary structures, and the homogeneity of disciplinary structures between countries.

  • Ackoff, RL. Systems, organizations, and interdisciplinary research. Society for General Systems Research 1960 5:18.

  • Almeida, JAS, Pais, AACC, Formosinho, SJ. Science indicators and science patterns in Europe. Journal of Informetrics 2009 3 2 134142 .

  • Barjak, F, Robinson, S. International collaboration, mobility and team diversity in the life sciences: Impact on research performance. Social Geography 2008 3:2336 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Barjak, F, Robinson, S 2009 National cultural diversity of research teams B Larsen J Leta eds. Proceedings of ISSI 2009—12th international conference of the international society for scientometrics and informetrics BIREME/PAHO/WHO & Federal University of Rio de Janeiro São Paulo 381393.

    • Search Google Scholar
    • Export Citation
  • Bordons, M, Morillo, F, Gómez, I 2004 Analysis of cross-disciplinary research through bibliometric tools HF Moed W Glänzel U Schmoch eds. Handbook of quantitative science and technology research Kluwer Dordrecht 437456.

    • Search Google Scholar
    • Export Citation
  • Burrell, QL. Measuring informetric similarity of concentration between different distributions: Two new approaches. Journal of the American Society for Information Science 2005 56 7 704714 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Burrell, QL. Measuring concentration within and co-concentration between informetric distributions: An empirical study. Scientometrics 2006 68 3 441456 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Burrell, QL. Time-dependent aspects of co-concentration in informetrics. Scientometrics 2007 73 2 161174 .

  • Clarke, A 1978 Analytical archaeology Methuen London.

  • Dagum, C. Measuring the economic affluence between populations of income receivers. Journal of Business and Economic Statistics 1987 5 1 511.

    • Search Google Scholar
    • Export Citation
  • Dalton, H. The measurement of inequality of incomes. The Economic Journal 1920 30:348361 .

  • Egghe, L, Rousseau, R. Transfer principles and a classification of concentration measures. Journal of the American Society for Information Science 1991 42 7 479489 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Finkelstein, M, Friedman, R. The application of an entropy theory of concentration to the Clayton Act. Yale Law Journal 1967 76:677717 .

  • Frame, JD. Mainstream research in Latin America and the Caribbean. Interciencia 1977 2:143148.

  • Glänzel, W. National characteristics in international scientific co-authorship relations. Scientometrics 2001 51 1 69115 .

  • Glänzel, W, Debackere, K, Meyer, M. ‘Triad’ or ‘tetrad’? On global changes in a dynamic world. Scientometrics 2008 74 1 7188 .

  • Gregorius, H-R. The relationship between the concepts of genetic diversity and differentiation. Theoretical and Applied Genetics 1987 74 3 397401 .

  • Griffiths, A, Robinson, LA, Willett, P. Hierarchic agglomerative clustering methods for automatic document classification. Journal of Documentation 1984 40 3 175205 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hill, MO. Diversity and evenness: A unifying notation and its consequences. Ecology 1973 54:427432 .

  • Hu, XJ, Rousseau, R. Comparative study of the difference in research performance in biomedical fields among selected Western and Asian countries. Scientometrics 2009 81 2 475491 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • King, DA. The scientific impact of nations. Nature 2004 430 6 311316 .

  • Kozlowski, J, Radosevic, S, Ircha, D. History matters: the inherited disciplinary structure of the post-communist science in countries of Central and Eastern Europe and its restructuring. Scientometrics 1999 45 1 137166 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lande, R. Statistics and partitioning of species diversity, and similarity among multiple communities. Oikos 1996 76 1 513 .

  • RD Leonard GT Jones eds. 1989 Quantifying diversity in archaeology Cambridge University Press Cambridge.

  • Leydesdorff, L. Betweenness centrality as an indicator of the interdisciplinarity of scientific journals. Journal of the American Society for Information Science and Technology 2007 58 9 13031319 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Leydesdorff, L, Rafols, I. A global map of science based on the ISI subject categories. Journal of the American Society for Information Science and Technology 2009 60 2 348362 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Liang, LM, Havemann, F, Heinz, M, Wagner-Döbler, R. Structural similarities between science growth dynamics in China and in western countries. Scientometrics 2006 66 2 311325 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Liu, Yx, Rafols, I, Rousseau, R. A framework for knowledge integration and diffusion. Journal of Documentation 2012 68 1 3144 .

  • Magurran, A 1988 Ecological diversity and its measurement Croom Helm London.

  • McIntosh, R. An index of diversity and the relation of certain concepts to diversity. Ecology 1967 48:392404 .

  • Morillo, F, Bordons, M, Gomez, I. An approach to interdisciplinarity through bibliometric indicators. Scientometrics 2001 51 1 203222 .

  • Morillo, F, Bordons, M, Gomez, I. Interdisciplinarity in science: a tentative typology of disciplines and research areas. Journal of the American Society for Information Science and Technology 2003 54 13 12371249 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Nei, M. (1972). Genetic distance between populations. The American Naturalist, 106 (949), 283292.

  • Nei, M. Analysis of gene diversity in subdivided populations. Proceedings of the National Academy of Sciences 1973 70:33213323 .

  • Nei, M. Estimation of average heterozygosity and genetic distance from a small number of individuals. Genetics 1978 89:583590.

  • Nei, M, Li, WH. Mathematical model for studying genetic variation in terms of restriction endonucleases. Proceedings of the National Academy of Sciences 1979 76 10 52695273 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Nei, M, Tajima, F. DNA polymorphism detectable by restriction endonucleases. Genetics 1981 97:145163.

  • Nguyen, P, Saviotti, PP, Trommetter, M, Bourgeois, B. Variety and the evolution of refinery processing. Industrial and Corporate Change 2005 14 3 469500 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Nijssen, D, Rousseau, R P Van Hecke 1998 The Lorenz curve: a graphical representation of evenness. Coenoses 13 1 3338.

  • Patil, G, Taillie, C. Diversity as a concept and its measurement. Journal of the American Statistical Association 1982 77 379 548567 .

  • Pielou, E 1969 An introduction to mathematical ecology Wiley New York.

  • Porter, AL, Chubin, DE. An indicator of cross-disciplinary research. Scientometrics 1985 8:161176 .

  • Porter, AL, Cohen, AS, Roessner, JD, Perreault, M. Measuring researcher interdisciplinarity. Scientometrics 2007 72 1 117147 .

  • Qin, J, Lancaster, FW, Allen, B. Types and levels of collaboration in interdisciplinary research in the sciences. Journal of the American Society for Information Science 1997 48 10 893916 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Rafols, I, Meyer, M. How cross-disciplinary is bionanotechnology? Explorations in the specialty of molecular motors. Scientometrics 2007 70 3 633650 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Rafols, I, Meyer, M. Diversity and network coherence as indicators of interdisciplinarity: case studies in bionanoscience. Scientometrics 2010 82 2 263287 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Rao, CR. Diversity and dissimilarity coefficients: a unified approach. Theoretical Population Biology 1982 21 1 2443 .

  • Rousseau, R. Concentration and diversity of availability and use in information systems—a positive reinforcement model. Journal of the American Society for Information Science 1992 43 5 391395 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Rousseau, R P Van Hecke 1999 Measuring diversity. Acta Biotheoretica 47:15 .

  • Rousseau, R P Van Hecke Nijssen, D, Bogaert, J. The relationship between diversity profiles, evenness and species richness based on partial ordering. Environmental and Ecological Statistics 1999 6 2 211223 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Runnegar, B 1987 Rates and modes of evolution in the mollusca KSW Campbell MF Day eds. Rates of evolution Allen and Unwin London 3960.

  • Segev, E, Ahituv, N, Barzilai-Nahon, K. Mapping diversities and tracing trends of cultural homogeneity/heterogeneity in cyberspace. Journal of Computer-mediated communication 2007 12 4 12691297 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Shriver, MD, Jin, L, Boerwinkle, E, Deka, R, Ferrell, RE, Chakraborty, R. A novel measure of genetic distance for highly polymorphic tandem. Molecular Biology and Evolution 1995 12 5 914920.

    • Search Google Scholar
    • Export Citation
  • Simpson, EH. Measurement of diversity. Nature 1949 688:163.

  • Sokal, R, Sneath, P 1970 Principles of numerical taxonomy Freeman San Francisco 2022.

  • Solow, A, Polasky, S. Measuring biological diversity. Environmental and Ecological Statistics 1994 1:95107 .

  • Stanley, MHR, Amaral, LAN, Buldyrev, SV, Havlin, S, Leschhorn, H, Maass, P, Salinger, MA, Stanley, HE. Scaling behaviour in the growth of companies. Nature 1996 379 6568 804806 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Stirling, A. (1998). On the economics and analysis of diversity. SPRU Electronic Working Paper. http://www.sussex.ac.uk/Units/spru/publications/imprint/sewps/sewp28/sewp28.pdf. Accessed 4 Sep 2011.

    • Search Google Scholar
    • Export Citation
  • Stirling, A. A general framework for analysing diversity in science, technology and society. Journal of the Royal Society Interface 2007 4 15 707719 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • T van Leeuwen Tijssen, R. Interdisciplinary dynamics of modern science: Analysis of cross-disciplinary citation flows. Research Evaluation 2000 9 3 183187 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • AFJ van Raan T van Leeuwen 2002 Assessment of the scientific basis of interdisciplinarity, applied research. Application of bibliometric methods in Nutrition and Food Research. Research Policy 31:611632 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Whittaker, RH. Vegetation of the Siskiyou Mountains, Oregon and California. Ecological Monographs 1960 30:279338 .

  • Whittaker, RH. Evolution and measurement of species diversity. Taxon 1972 21:213251 .

  • Williams, PH, Humphries, CJ 1994 Biodiversity, taxonomic relatedness and endemism in conservation L Forey C Humphries R Vane-Wright eds. Setting objectives for conservation evaluation Oxford University Press Oxford 269287.

    • Search Google Scholar
    • Export Citation
  • Yue, HJ. Prediction and relative dynamic performance on field of research of China. Studies in Science of Science 2008 26 3 530538.

  • Yue, T, Yang, LY, Ding, JL, Han, T 2011 Comparison of disciplinary structure in science between G7 and the BRIC countries by bibliometric methods E Noyons P Ngulube J Leta eds. Proceedings of the ISSI 2011 Conference ISSI, Leiden University & University of Zululand Durban 887897.

    • Search Google Scholar
    • Export Citation
  • Zhang, L, Rousseau, R, Glänzel, W. Document-type country profiles. Journal of the American Society for Information Science and Technology 2011 62 7 14031411 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zitt, M. Facing diversity of science: A challenge for bibliometric indicators. Measurement 2005 3 1 3849.

  • Zitt, M, Ramanana-Rahary, S, Bassecoulard, E. Relativity of citation performance and excellence measures: From cross-field to cross-scale effects of field-normalisation. Scientometrics 2005 63:373401 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zitt, M., Bassecoulard, E., Filliatreau, G., & Ramanana-Rahary, S. (2007). Revisiting country and institution indicators from citation distributions: Profile performance measures. In D. Torres-Salinas & H. F. Moed (eds.), Proceedings of the 11th International Conference of the International Society for Scientometrics and Informetrics (ISSI 2007) (pp. 797802). Madrid, Spain: Centre for Scientific Information and Documentation, Spanish Research Council.

    • Search Google Scholar
    • Export Citation

  • Impact Factor (2019): 2.867
  • Scimago Journal Rank (2019): 1.210
  • SJR Hirsch-Index (2019): 106
  • SJR Quartile Score (2019): Q1 Computer Science Apllications
  • SJR Quartile Score (2019): Q1 Library and Information Sciences
  • SJR Quartile Score (2019): Q1 Social Sciences (miscellaneous)
  • Impact Factor (2018): 2.770
  • Scimago Journal Rank (2018): 1.113
  • SJR Hirsch-Index (2018): 95
  • SJR Quartile Score (2018): Q1 Library and Information Sciences
  • SJR Quartile Score (2018): Q1 Social Sciences (miscellaneous)

Manuscript submission: http://www.editorialmanager.com/scim/