Skip to main content

On 25 Years of CIAA Through the Lens of Data Science

  • Conference paper
  • First Online:
  • 245 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13266))

Abstract

We investigate the structure of the co-authorship graph for the Conference on Implementation and Application of Automata (CIAA) with techniques from network sciences. This allows us to answer a broad variety of questions on collaboration patterns. Our findings are in line with (statistical) properties of other co-authorship networks from biology, physics and mathematics as conducted earlier by pioneers of network sciences.

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   54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   69.99
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

Notes

  1. 1.

    https://dblp.org.

  2. 2.

    https://www.springer.com/gp/computer-science/lncs.

  3. 3.

    https://www.python.org.

  4. 4.

    https://www.anaconda.com.

  5. 5.

    https://networkx.org.

  6. 6.

    The interested readers who is able to help with disambiguation is invited to suggest corrections to the DBLP team.

References

  1. Adamic, L.A., Huberman, B.A.: The nature of markets in the world wide web. Q. J. Electron. Commer. 1, 512 (2000)

    Google Scholar 

  2. Amaral, L.A.N., Scala, A., Barthélémy, M., Stanley, H.E.: Classes of small-world networks. Proc. Natl. Acad. Sci. 97(21), 11149–11152 (2000)

    Article  Google Scholar 

  3. Auerbach, F.: Das Gesetz der Bevölkerungskonzentration. Petermanns Geographische Mitteilungen 59, 74–76 (1913)

    Google Scholar 

  4. Kao, R.R.: Networks and Models with Heterogeneous Population Structure in Epidemiology. In: Network Science, pp. 51–84. Springer, London (2010). https://doi.org/10.1007/978-1-84996-396-1_4

    Chapter  Google Scholar 

  5. Brandes, U.: On variants of shortest-path betweenness centrality and their generic computation. Soc. Netw. 30(2), 136–145 (2008)

    Article  Google Scholar 

  6. Clauset, A., Newman, M.E., Moore, C.: Finding community structure in very large networks. Phys. Rev. E 70(6), 066111 (2004)

    Article  Google Scholar 

  7. Grossman, J.W., Ion, P.D.F.: On a portion of the well-known collaboration graph. Congr. Numer. 108, 129–132 (1995)

    MathSciNet  MATH  Google Scholar 

  8. Gutenberg, B., Richter, R.F.: Frequency of earth-quakes in California. Bull. Seismol. Soc. Am. 34, 185–188 (1944)

    Article  Google Scholar 

  9. Kim, J.: Evaluating author name disambiguation for digital libraries: a case of DBLP. Scientometrics 116(3), 1867–1886 (2018). https://doi.org/10.1007/s11192-018-2824-5

    Article  Google Scholar 

  10. Lotka, A.J.: The frequency distribution of scientific productivity. J. Wash. Acad. Sci. 16(12), 317–324 (1926)

    Google Scholar 

  11. Lu, E.T., Hamilton, R.J.: Avalanches of the distribution of solar flares. Astrophys. J. 380, 89–92 (1991)

    Article  Google Scholar 

  12. Müller, M.-C., Reitz, F., Roy, N.: Data sets for author name disambiguation: an empirical analysis and a new resource. Scientometrics 111(3), 1467–1500 (2017). https://doi.org/10.1007/s11192-017-2363-5

    Article  MATH  Google Scholar 

  13. Nascimento, M.A., Sander, J., Pound, J.: Analysis of SIGMOD’s co-authorship graph. SIGMOD Rec. 32(3), 8–10 (2003)

    Article  Google Scholar 

  14. Newman, M.E.J.: The structure of scientific collaboration networks. Proc. Natl. Acad. Sci. 98, 404–409 (2001)

    Article  MathSciNet  Google Scholar 

  15. Newman, M.E.J.: Coauthorship networks and patterns of scientific collaboration. Proc. Nat. Acad. Sci. 101(suppl_1), 5200–5205 (2004)

    Google Scholar 

  16. Newman, M.E.J.: Network: An Introduction. Cambridge University Press, Cambridge (2010)

    Book  Google Scholar 

  17. Raymond, D.: WIA and the practice of theory in computer science. In: Raymond, D., Wood, D., Yu, S. (eds.) WIA 1996. LNCS, vol. 1260, pp. 1–5. Springer, Heidelberg (1997). https://doi.org/10.1007/3-540-63174-7_1

    Chapter  Google Scholar 

  18. de Solla Price, D.J.: Networks of scientific papers. Science 149, 510–515 (1965)

    Article  Google Scholar 

  19. Savić, M., Ivanović, M., Jain, L.C.: Analysis of enriched co-authorship networks: methodology and a case study. In: Complex Networks in Software, Knowledge, and Social Systems. ISRL, vol. 148, pp. 277–317. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-91196-0_8

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Markus Holzer .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Gruber, H., Holzer, M., Rauch, C. (2022). On 25 Years of CIAA Through the Lens of Data Science. In: Caron, P., Mignot, L. (eds) Implementation and Application of Automata. CIAA 2022. Lecture Notes in Computer Science, vol 13266. Springer, Cham. https://doi.org/10.1007/978-3-031-07469-1_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-07469-1_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-07468-4

  • Online ISBN: 978-3-031-07469-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics