Skip to main content

Scienceography: The Study of How Science Is Written

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7288))

Abstract

Scientific literature has itself been the subject of much scientific study, for a variety of reasons: understanding how results are communicated, how ideas spread, and assessing the influence of areas or individuals. However, most prior work has focused on extracting and analyzing citation and stylistic patterns. In this work, we introduce the notion of ‘scienceography’, which focuses on the writing of science. We provide a first large scale study using data derived from the arXiv e-print repository. Crucially, our data includes the “source code” of scientific papers—the \(\hbox{\LaTeX }\) source—which enables us to study features not present in the “final product”, such as the tools used and private comments between authors. Our study identifies broad patterns and trends in two example areas—computer science and mathematics—as well as highlighting key differences in the way that science is written in these fields. Finally, we outline future directions to extend the new topic of scienceography.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Atkins, H.B., Cronin, B.: The Web of Knowledge. Information Today (2000)

    Google Scholar 

  • Bellis, N.D.: Bibliometrics and Citation Analysis: From the Science Citation Index to Cybermetrics. Scarecrow Press (2009)

    Google Scholar 

  • Fealing, K.H., Lane, J.I., Marburger III, J.H., Shipp, S.S. (eds.): The Science of Science Policy: A Handbook. Stanford University press (2011)

    Google Scholar 

  • Gerrish, S.M., Blei, D.: A language-based approach to measuring scholarly impact. In: International Conference on Machine Learning (2010)

    Google Scholar 

  • Goth, G.: The science of better science. Communications of the ACM (2012)

    Google Scholar 

  • Hirsch, J.E.: An index to quantify an individual’s scientific research output. PNAS 102(46), 16569–16572 (2005)

    Article  Google Scholar 

  • Klink, S., Reuther, P., Weber, A., Walter, B., Ley, M.: Analysing Social Networks Within Bibliographical Data. In: Bressan, S., Küng, J., Wagner, R. (eds.) DEXA 2006. LNCS, vol. 4080, pp. 234–243. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  • Moed, H.F.: Citation Analysis in Research Evaluation. Springer (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Cormode, G., Muthukrishnan, S., Yan, J. (2012). Scienceography: The Study of How Science Is Written. In: Kranakis, E., Krizanc, D., Luccio, F. (eds) Fun with Algorithms. FUN 2012. Lecture Notes in Computer Science, vol 7288. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30347-0_37

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-30347-0_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30346-3

  • Online ISBN: 978-3-642-30347-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics