Skip to main content

Exploratory Analysis of Communities in Co-authorship Networks: A Case Study

  • Conference paper
ICT Innovations 2014 (ICT Innovations 2014)

Abstract

Digital libraries enable worldwide access to scientific results, but also provide a valuable source of information that can be used to investigate patterns and trends in scientific collaboration. The Electronic Library of the Mathematical Institute of the Serbian Academy of Sciences and Arts (eLib) digitizes the most prominent mathematical journals printed in Serbia. Using eLib bibliographical records we constructed a co-authorship network representing collaborations between authors who published their papers in eLib journals in the period from 1932 to 2011. In this paper we apply community detection techniques in order to examine the structure of the eLib co-authorship network. Such study reveals characteristic patterns of scientific collaboration in Serbian mathematical journals, and helps us to understand the (self-)organization of the eLib community of authors.

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

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Barabasi, A.L., Albert, R.: Emergence of scaling in random networks. Science 286(5439), 509–512 (1999)

    Article  MathSciNet  Google Scholar 

  2. Batagelj, V., Mrvar, A.: Some analyses of Erdős collaboration graph. Social Networks 22(2), 173–186 (2000)

    Article  MathSciNet  Google Scholar 

  3. Blondel, V.D., Guillaume, J.L., Lambiotte, R., Lefebvre, E.: Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment 2008(10), P10008 (2008)

    Google Scholar 

  4. Boccaletti, S., Latora, V., Moreno, Y., Chavez, M., Hwang, D.: Complex networks: Structure and dynamics. Physics Reports 424, 175–308 (2006)

    Article  MathSciNet  Google Scholar 

  5. Brunson, J.C., Fassino, S., McInnes, A., Narayan, M., Richardson, B., Franck, C., Ion, P., Laubenbacher, R.: Evolutionary events in a mathematical sciences research collaboration network. ArXiv e-prints (2012)

    Google Scholar 

  6. Fortunato, S., Barthélemy, M.: Resolution limit in community detection. Proceedings of the National Academy of Sciences 104(1), 36–41 (2007)

    Article  Google Scholar 

  7. Girvan, M., Newman, M.E.J.: Community structure in social and biological networks. Proceedings of the National Academy of Sciences 99(12), 7821–7826 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  8. Gollapalli, S.D., Mitra, P., Giles, C.L.: Ranking authors in digital libraries. In: Proceedings of the 11th Annual International ACM/IEEE Joint Conference on Digital Libraries, JCDL 2011, pp. 251–254. ACM, New York (2011)

    Google Scholar 

  9. Grossman, J.W., Ion, P.D.F.: On a portion of the well known collaboration graph. Congressus Numerantium 108, 129–131 (1995)

    MATH  MathSciNet  Google Scholar 

  10. Grossman, J.: The evolution of the mathematical research collaboration graph. Congressus Numerantium 158, 201–212 (2002)

    MATH  MathSciNet  Google Scholar 

  11. Grossman, J.: Patterns of collaboration in mathematical research. SIAM News 35(9), 8–9 (2002)

    Google Scholar 

  12. Liben-Nowell, D., Kleinberg, J.: The link prediction problem for social networks. In: Proceedings of the Twelfth International Conference on Information and Knowledge Management, CIKM 2003, pp. 556–559. ACM, New York (2003)

    Chapter  Google Scholar 

  13. Mijajlović, Z., Ognjanović, Z., Pejović, A.: Digitization of mathematical editions in Serbia. Mathematics in Computer Science 3(3), 251–263 (2010)

    Article  MATH  Google Scholar 

  14. Newman, M.E.J.: Scientific collaboration networks I: Network construction and fundamental results. Physical Review E 64, 016131 (2001)

    Google Scholar 

  15. Newman, M.E.J.: Scientific collaboration networks II: Shortest paths, weighted networks, and centrality. Physical Review E 64, 016132 (2001)

    Google Scholar 

  16. Newman, M.E.J.: The structure and function of complex networks. SIAM Review 45, 167–256 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  17. Newman, M.E.J., Girvan, M.: Finding and evaluating community structure in networks. Physical Review E 69(2), 026113 (2004)

    Google Scholar 

  18. Pons, P., Latapy, M.: Computing communities in large networks using random walks. Journal of Graph Algorithms and Applications 10(2), 191–218 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  19. Radicchi, F., Castellano, C., Cecconi, F., Loreto, V., Parisi, D.: Defining and identifying communities in networks. Proceedings of the National Academy of Sciences of the United States of America 101, 2658–2663 (2004)

    Google Scholar 

  20. Raghavan, U.N., Albert, R., Kumara, S.: Near linear time algorithm to detect community structures in large-scale networks. Physical Review E 76, 036106 (2007)

    Google Scholar 

  21. Rodriguez, M.A., Bollen, J.: An algorithm to determine peer-reviewers. In: Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM 2008, pp. 319–328. ACM, New York (2008)

    Google Scholar 

  22. Rosvall, M., Bergstrom, C.T.: Maps of information flow reveal community structure in complex networks. Proceedings of the National Academy of Sciences of the United States of America 105, 1118–1123 (2007)

    Google Scholar 

  23. Savić, M., Ivanović, M., Radovanović, M., Ognjanović, Z., Pejović, A., Jakšić Krüger, T.: The structure and evolution of scientific collaboration in Serbian mathematical journals. Scientometrics (to appear, 2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Miloš Savić .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Savić, M., Ivanović, M., Radovanović, M., Ognjanović, Z., Pejović, A., Jakšić Krüger, T. (2015). Exploratory Analysis of Communities in Co-authorship Networks: A Case Study. In: Bogdanova, A., Gjorgjevikj, D. (eds) ICT Innovations 2014. ICT Innovations 2014. Advances in Intelligent Systems and Computing, vol 311. Springer, Cham. https://doi.org/10.1007/978-3-319-09879-1_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-09879-1_6

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09878-4

  • Online ISBN: 978-3-319-09879-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics