Sustainability Science

, Volume 8, Issue 2, pp 253–267 | Cite as

Identification and analysis of the highly cited knowledge base of sustainability science

Original Article

Abstract

We investigated the interdisciplinary ‘pillars’ of scientific knowledge on which the emerging field of sustainability science is founded, using a bibliometric approach and data from the Web of Science database. To find this scientific basis, we first located publications that represent a relevant part of sustainability science and then extracted the set of best cited publications, which we called the highly cited knowledge base (HCKB). To find the research orientation in this set, we inspected the occurrence of fields and contrasted this with the occurrence of fields in other publication sets relevant to sustainability science. We also created a network of co-cited HCKB publications using the seed set citations, extracted communities or clusters in this network and visualised the result. Additionally, we inspected the most cited publications in these HCKB clusters. We found that themes related to the three pillars of sustainable development (environment, economy and sociology) are all present in the HCKB, although social science (not including economics) is less visible. Finally, we found increasing diversity of fields and clusters in the citations of the seed set, indicating that the field of sustainability science is not yet moving into a more transdisciplinary state.

Keywords

Sustainability science Knowledge base Bibliometric analysis Network visualisation Clustering Trends Transdisciplinarity 

References

  1. Baron RM, Kenny DA (1986) The moderator–mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol 51(6):1173–1182CrossRefGoogle Scholar
  2. Bastian M, Heymann S, Jacomy M (2009) Gephi: an open source software for exploring and manipulating networks. In: Proceedings of the international AAAI conference on weblogs and social media, San Jose, California, May 2009Google Scholar
  3. Blondel VD, Guillaume J-L, Lambiotte R, Lefebvre E (2008) Fast unfolding of communities in large networks. J Stat Mech Theory Exp (2008):P10008. doi:10.1088/1742-5468/2008/10/P10008
  4. Braam RR, Moed HF, van Raan AFJ (1991) Mapping of science by combined co-citation and word analysis. I. Structural aspects. J Am Soc Inf Sci 42(4):233–251CrossRefGoogle Scholar
  5. Buter RK (2012) Scientific structures in context—identification and use of structures, context, and new developments in science. PhD thesis, Leiden University, Leiden, the NetherlandsGoogle Scholar
  6. Buter RK, Noyons ECM (2005) Using reference structures to evaluate co-word structures: first explorations. In: Proceedings of the 10th international conference of the International Society for Scientometrics and Informetrics, Stockholm, Sweden, July 2005, pp 260–264Google Scholar
  7. Buter RK, van Raan AFJ (2011) Non-alphanumeric characters in titles of scientific publications: an analysis of their occurrence and correlation with citation impact. J Inf 5(4):608–617Google Scholar
  8. Buter RK, Noyons ECM, van Raan AFJ (2010a) Identification of converging research areas using publication and citation data. Res Eval 19(1):19–27CrossRefGoogle Scholar
  9. Buter RK, Noyons ECM, Van Raan AFJ (2010b) Searching for converging research using field to field citations. Scientometrics 86(2):325–338CrossRefGoogle Scholar
  10. Clark WC (2007) Sustainability science: a room of its own. Proc Natl Acad Sci USA 104(6):1737–1738CrossRefGoogle Scholar
  11. Clark WC, Dickson NM (2003) Sustainability science: the emerging research program. Proc Natl Acad Sci USA 100(14):8059–8061CrossRefGoogle Scholar
  12. de Solla Price D (1981) The analysis of scientometric matrices for policy implications. Scientometrics 3(1):47–53CrossRefGoogle Scholar
  13. Dodds S (1997) Towards a ‘science of sustainability’: improving the way ecological economics understands human well-being. Ecol Econ 23(2):95–111CrossRefGoogle Scholar
  14. Elliot JA (2006) An introduction to sustainable development, 3rd edn. Routledge, AbingdonGoogle Scholar
  15. Gibbons M, Limogenes C, Nowotny H, Schwartzman S, Scott P, Trow M (1994) The new production of knowledge: the dynamics of science and research in contemporary societies. Sage Publications, LondonGoogle Scholar
  16. Hu YF (2005) Efficient, high-quality force-directed graph drawing. Math J 10(1):37–71.Google Scholar
  17. Kajikawa Y (2008) Research core and framework of sustainability science. Sustain Sci 3(2):215–239CrossRefGoogle Scholar
  18. Kajikawa Y, Ohno J, Takeda Y, Matsushima K, Komiyama H (2007) Creating an academic landscape of sustainability science: an analysis of the citation network. Sustain Sci 2(2):221–231CrossRefGoogle Scholar
  19. Kates RW, Clark WC, Corell R, Hall JM, Jaeger CC, Lowe I, McCarthy JJ, Schellnhuber HJ, Bolin B, Dickson NM, Faucheux S, Gallopin GC, Grübler A, Huntley B, Jäger J, Jodha NS, Kasperson RE, Mabogunje A, Matson P, Mooney H, Moore B 3rd, O’Riordan T, Svedlin U (2001) Environment and development. Sustainability science. Science 292(5517):641–642CrossRefGoogle Scholar
  20. Keitsch MM (2010) Sustainability and science—challenges for theory and practice. Sustain Dev 18(5):241–244CrossRefGoogle Scholar
  21. King C, Gunton J, Freebairn D, Coutts J, Webb I (2000) The sustainability indicator industry: where to from here? a focus group study to explore the potential of farmer participation in the development of indicators. Aust J Exp Agric 40(4):631–642.CrossRefGoogle Scholar
  22. Komiyama H, Takeuchi K (2006) Sustainability science: building a new discipline. Sustain Sci 1(1):1–6CrossRefGoogle Scholar
  23. Kuhn TS (1970) The structure of scientific revolutions. University of Chicago Press, ChicagoGoogle Scholar
  24. Larivière V, Gingras Y (2010) On the relationship between interdisciplinarity and scientific impact. J Am Soc Inf Sci Technol 61(1):126–131CrossRefGoogle Scholar
  25. Lee KN (1993) Compass and gyroscope: integrating science and politics for the environment. Island Press, Washington DCGoogle Scholar
  26. Michalk DL, Dowling PM, Kemp DR, King WMcG, Packer IJ, Holst PJ, Jones RE, Priest SM, Millar GD, Brisbane S, Stanley DF (2003) Sustainable grazing systems for the Central Tablelands of New South Wales. Aust J Exp Agric 43(8):861–874CrossRefGoogle Scholar
  27. Moed HF (2005) Citation analysis in research evaluation. Information science and knowledge management, vol 9. Springer, DordrechtGoogle Scholar
  28. Moed HF, De Bruin RE, Van Leeuwen TN (1995) New bibliometric tools for the assessment of national research performance: database description, overview of indicators and first applications. Scientometrics 33(3):381–422CrossRefGoogle Scholar
  29. Noyons ECM (1999) Bibliometric mapping as a science policy and research management tool. PhD thesis, Leiden University, Leiden, the NetherlandsGoogle Scholar
  30. Noyons ECM, van Raan AFJ (1998) Monitoring scientific developments from a dynamic perspective: Self-organized structuring to map neural network research. J Am Soc Inf Sci 49(1):68–81Google Scholar
  31. Noyons ECM, Moed HF, Luwel M (1999) Combining mapping and citation analysis for evaluative bibliometric purposes: a bibliometric study. J Am Soc Inf Sci 50(2):115–131CrossRefGoogle Scholar
  32. Pearce DW, Barbier EB, Markandya A (1990) Sustainable development: economics and environment in the Third World. Edward Elgar, AldershotGoogle Scholar
  33. Peters HPF, Braam RR, van Raan AFJ (1995) Cognitive resemblance and citation relations in chemical engineering publications. J Am Soc Inf Sci 46(1):9–21CrossRefGoogle Scholar
  34. Quinlan JR (1993) C4.5: programs for machine learning. Morgan Kaufmann, San MateoGoogle Scholar
  35. Rafols I, Meyer M (2010) Diversity and network coherence as indicators of interdisciplinarity: case studies in bionanoscience. Scientometrics 82(2):263–287CrossRefGoogle Scholar
  36. Small HG (1978) Cited documents as concept symbols. Soc Stud Sci 8(3):327–340CrossRefGoogle Scholar
  37. Soler V (2007) Writing titles in science: an exploratory study. Engl Spec Purp 26(1):90–102CrossRefGoogle Scholar
  38. Stalnaker R (2002) Common ground. Linguist Philos 25(5):701–721CrossRefGoogle Scholar
  39. van den Besselaar P, Heimeriks G (2001) Disciplinary, multidisciplinary, interdisciplinary: concepts and indicators. In: Davis M, Wilson CS (eds) Proceedings of the 8th international conference on scientometrics and informetrics, Sydney, Australia, July 2001Google Scholar
  40. van Raan AFJ (1996) Advanced bibliometric methods as quantitative core of peer review based evaluation and foresight exercises. Scientometrics 36(3):397–420CrossRefGoogle Scholar

Copyright information

© Springer 2012

Authors and Affiliations

  1. 1.Centre for Science and Technology Studies Leiden UniversityLeidenThe Netherlands

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