Skip to main content
SpringerLink
Log in

The Growth of Scientific Knowledge

  • Chapter
Mapping Scientific Frontiers: The Quest for Knowledge Visualization

Abstract

This is a book about mapping scientific frontiers. We hear of a body of knowledge, research fronts, and scientific frontiers. Scientific frontiers are where one would expect to find not only the cutting-edge knowledge and technology of humans, but also unsolved mysteries, controversies, battles and debates, and revolutions. For example, a bimonthly newsletter Scientific Frontiers 1 digests scientific reports of scientific anomalies: observations and facts that do not quite fit into prevailing scientific theories. This is where the unknown manifests itself in all sorts of ways. The questions addressed in this book concern the dynamics of scientific frontiers and ways that may enable us to understand better the science in the making. In this book, we will take you through our quest to visualize the growth of scientific knowledge. This is not a technical tutorial; instead, the focus is on principles of visual thinking and the ways that may vividly reveal the dynamics of scientific frontiers.

Science is what you know, philosophy is what you don’t know.

Bertrand Russell, 1872–1970

http:// www.science-frontiers.com/

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 74.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Battista, GD, Eades, P, Tamassia, R, and Tollis, IG (1999). Graph Drawing: Algorithms for the Visualization of Graphs. Englewood Cliffs, NJ: Prentice Hall.

    MATH  Google Scholar 

  • Bernal, JD (1939). The Social Function of Science. New York: Macmillan.

    Google Scholar 

  • Bullard, E, Everett, JE, Smith, AG (1965). The fit of the continents around the Atlantic. Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences,258(1088), 41–57.

    Google Scholar 

  • Callon, M, Law, J, and Rip, A (eds) (1986). Mapping the Dynamics of Science and Technology:Sociology of Science in the Real World. London: Macmillan.

    Google Scholar 

  • Card, S, Mackinlay, J, and Shneiderman, B (eds) (1999). Readings in Information Visualization: Using Vision to Think. San Francisco, CA: Morgan Kaufmann.

    Google Scholar 

  • Card, SK (1996). Visualizing retrieved information: a survey. IEEE Computer Graphics and Applications, 16(2), 63–7.

    Article  Google Scholar 

  • Chalmers, M (1992). BEAD: explorations in information visualisation. Proceedings of SIGIR ’92, June 1992, Copenhagen, Denmark, pp. 330–7.

    Google Scholar 

  • Chen, C (1999). Information Visualisation and Virtual Environments, London: Springer.

    Google Scholar 

  • Crane, D (1972). Invisible Colleges: Diffusion of Knowledge in Scientific Communities. Chicago, IL:University of Chicago Press.

    Google Scholar 

  • Fimmel, RO, Allen, JV, and Burgess, E (1980). Pioneer: First to Jupiter, Saturn, and Beyond. US Government Printing Office NASA SP-446. Washington, DC: Scientific and Technical Information Office, NASA.

    Google Scholar 

  • Goguen, J (2000). Information visualization and semiotic morphisms. University of California at San Diego, http://www-cse.ucsd.edu/users/goguen/papers/sm/vzln.html (retrieved 8 August 2001).

    Google Scholar 

  • Hearst, MA (1999). User interfaces and visualization. In: R Baeza-Yates and B Ribeiro-Neto (eds),Modern Information Retrieval. Reading, MA: Addison-Wesley, pp. 257–323.

    Google Scholar 

  • Herman, I, Melaçnon, G, and Marshall, MS (2000). Graph visualization and navigation in information visualization: a survey. IEEE Transactions on Visualization and Computer Graphics, 6(1), 24–44.

    Article  Google Scholar 

  • Hollan, JD, Bederson, BB, and Helfman, J (1997). Information visualization. In: MG Helenader,TK Landauer and P Prabhu (eds), The Handbook of Human Computer Interaction. Amsterdam:Elsevier, pp. 33–48.

    Chapter  Google Scholar 

  • Ihde, D (1998). Expanding Hermeneutics: Visualism in Science. Evanston, IL: Northwestern University Press.

    Google Scholar 

  • Inselberg, A (1997). Multidimensional detective. Proceedings of IEEE InfoVis’97, October 1997,Phoenix, AZ, USA, IEEE Computer Society, pp. 100–107.

    Google Scholar 

  • Kochen, M (1984). Toward a paradigm for information science: the influence of Derek de Solla Price.Journal of the American Society for Information Science and Technology, 35(3), 147–8.

    Article  Google Scholar 

  • Koffka, K (1935). The Principles of Gestalt Psychology. New York: Harcourt and Brace.

    Google Scholar 

  • Kou, L, and Kou, YH (1976). Chinese Folktales. Millbrae, CA: Celestial Arts, pp. 83–5.

    Google Scholar 

  • Kuhn, TS (1962). The Structure of Scientific Revolutions. Chicago, IL: University of Chicago Press.

    Google Scholar 

  • Latour, B, and Woolgar, S (1986). Laboratory Life: The Construction of Scientific Facts. Princeton, NJ:Princeton University Press.

    Google Scholar 

  • Lin, X (1997). Map displays for information retrieval. Journal of the American Society for Information Science, 48(1), 40–54.

    Article  Google Scholar 

  • Lin, X, Soergel, D, and Marchionini, G (1991). A self-organizing semantic map for information retrieval. Proceedings of SIGIR ’91, 13–16 October 1991, Chicago, IL, USA, pp. 262–9.

    Google Scholar 

  • Masterman, M (1970). The nature of paradigms. In: I Lakatos and I Musgrave (eds), Criticism and the Growth of Knowledge. Cambridge: Cambridge University Press, pp. 59–90.

    Google Scholar 

  • McCormick, BH, DeFanti, TA, and Brown, MD (1987). Visualization in scientific computing. Report of the NSF Advisory Panel on Graphics, Image Processing and Workstations.

    Google Scholar 

  • McGrath, JE, and Altaian, I (1966). Small Group Research: A Synthesis and Critique of the Field.New York: Holt, Rinehart & Winston.

    Google Scholar 

  • McKim, RH (1980). Experiences in Visual Thinking (2nd ed.). Boston, MA: PWS Publishing Co.

    Google Scholar 

  • Mukherjea, S (1999). Information visualization for hypermedia systems. ACM Computing Surveys, 31 (4es) (6).

    Google Scholar 

  • Perls, F, Hefferline, RF, and Goodman, P (1951). Gestalt Therapy. New York: Julian.

    Google Scholar 

  • Price, DD (1961). Science since Babylon. New Haven, CT: Yale University Press.

    Google Scholar 

  • Price, DD (1963). Little Science, Big Science. New York: Columbia University Press.

    Google Scholar 

  • Price, DD (1965). Networks of scientific papers. Science, 149, 510–15.

    Article  Google Scholar 

  • Rittschof, KA, Stock, WA, Kulhavy, RW, Verdi, MP, and Doran, JM (1994). Thematic maps improve memory for facts and inferences: a test of the stimulus order hypothesis. Contemporary Educational Psychology, 19, 129–42.

    Article  Google Scholar 

  • Small, H (1977). A co-citation model of a scientific specialty: a longitudinal study of collagen research.Social Studies of Science, 7, 139–66.

    Article  Google Scholar 

  • Small, HG, and Griffith, BC (1974). The structure of scientific literatures I: Identifying and graphing specialties. Science Studies, 4, 17–40.

    Article  Google Scholar 

  • Spence, B (2001). Information Visualization. Reading, MA: Addison-Wesley.

    Google Scholar 

  • Thagard, P (1992). Conceptual Revolutions. Princeton, NJ: Princeton University Press.

    Google Scholar 

  • Tufte, ER (1983). The Visual Display of Quantitative Information. Cheshire, CT: Graphics Press.

    Google Scholar 

  • Tufte, ER (1990). Envisioning Information. Cheshire, CT: Graphics Press.

    Google Scholar 

  • Tufte, ER (1997). Visual Explanations. Cheshire, CT: Graphics Press.

    MATH  Google Scholar 

  • Ware, C (2000). Information Visualization: Perception for Design. San Francisco, CA: Morgan Kaufmann Publishers.

    Google Scholar 

  • Wise, JA, Thomas, JJ, Pennock, K, Lantrip, D, Pottier, M, Schur, A, and Crow, V (1995). Visualizing the non-visual: spatial analysis and interaction with information from text documents.Proceedings of IEEE Symposium on Information Visualization ’95, 30–31 October 1995, Atlanta,GA, USA, pp. 51–8.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Information Science and Technology, Drexel University, Philadelphia, USA

    Chaomei Chen PhD, MSc, BSc

Authors
  1. Chaomei Chen PhD, MSc, BSc
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag London Limited

About this chapter

Cite this chapter

Chen, C. (2003). The Growth of Scientific Knowledge. In: Mapping Scientific Frontiers: The Quest for Knowledge Visualization. Springer, London. https://doi.org/10.1007/978-1-4471-0051-5_1

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-0051-5_1

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-494-9

  • Online ISBN: 978-1-4471-0051-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation