Skip to main content

Network Science and Narratives: Basic Model and Application to Victor Hugo’s Les Misérables

  • Chapter
  • First Online:

Part of the book series: Studies in Computational Intelligence ((SCI,volume 644))

Abstract

Propelled by the recent advances in digitization of books and computational methods for automated text analysis, we are witnessing a promising opportunity for a serious scientific study of narratives. The importance of such an endeavor stems from the fact that a good story, albeit often fictional and artificial, is composed of highly believable characters who interact and experience a sequence of events together in a realistic world setting, and thus a better understanding of narratives may yield new insights for comprehending various real social phenomena as well as literary fiction. Here we present the basic scientific framework for modeling narrative as complex networks, which allows us to study how the narrative structure is reflected in the network of characters and how they allow us to understand the dynamics of narrative progression. This paper contains the fundamental network model of narratives and its properties that serves as the starting point for a more comprehensive future work.

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   129.00
Price excludes VAT (USA)
  • Available as EPUB and 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
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover 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.

    Although our network appears denser than typical social networks [19, 20], this is likely due to the fact that most characters of the novel are involved in some common plot while the rest of the story world is pushed into the background.

References

  1. Michel, J.B., Shen, Y.K., Aiden, A.P., Veres, A., Gray, M.K., Pickett, J.P., Hoiberg, D., Clancy, D., Norvig, P., Orwant, J., et al.: Science 331(6014), 176 (2011)

    Google Scholar 

  2. ArkivMusic. http://www.arkivmusic.com/. Accessed 2015-10-08

  3. Park, D., Bae, A., Schich, M., Park, J.: EPJ Data Sci. 4(1), 1 (2015)

    Article  Google Scholar 

  4. Schich, M., Song, C., Ahn, Y.Y., Mirsky, A., Martino, M., Barabási, A.L., Helbing, D.: Science 345(6196), 558 (2014)

    Google Scholar 

  5. Han, J., Kamber, M., Pei, J.: Data Mining: Concepts and Techniques. Elsevier (2011)

    Google Scholar 

  6. Albert, R., Jeong, H., Barabási, A.L.: Nature 401(6749), 130 (1999)

    Article  Google Scholar 

  7. Choi, J.H., Barnett, G.A., Chon, B.S.: Glob. Netw. 6(1), 81 (2006)

    Google Scholar 

  8. Grimm, V., Revilla, E., Berger, U., Jeltsch, F., Mooij, W.M., Railsback, S.F., Thulke, H.H., Weiner, J., Wiegand, T., DeAngelis, D.L.: Science 310(5750), 987 (2005)

    Google Scholar 

  9. Jeong, H., Tombor, B., Albert, R., Oltvai, Z.N., Barabási, A.L.: Nature 407(6804), 651 (2000)

    Article  Google Scholar 

  10. Borgatti, S.P., Foster, P.C.: J. Manag. 29(6), 991 (2003)

    Google Scholar 

  11. Newman, M.: Networks: An Introduction. Oxford University Press (2010)

    Google Scholar 

  12. Moretti, F.: New Left Review (2011)

    Google Scholar 

  13. Elson, D.K., Dames, N., McKeown, K.R.: In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp. 138–147. Association for Computational Linguistics (2010)

    Google Scholar 

  14. Field, S.: Screenplay: The Foundations of Screenwriting. Delta (2007)

    Google Scholar 

  15. Vogler, C.: The Writer’s Journey. Michael Wiese Productions (2007)

    Google Scholar 

  16. Hugo, V.: Les Misérables, vol. 5. Lassalle (1862)

    Google Scholar 

  17. Gtenberg, T.P.: https://www.gutenberg.org. Accessed 2015-10-08

  18. Welsh, A.: Nineteenth-Century Fiction, pp. 8–23 (1978)

    Google Scholar 

  19. Wasserman, S., Faust, K.: Social Network Analysis: Methods and Applications, vol. 8. Cambridge University Press (1994)

    Google Scholar 

  20. Marsden, P.V.: Ann. Rev. Sociol. 435–463 (1990)

    Google Scholar 

  21. Freytag, G.: Freytag’s Technique of the Drama: An Exposition of Dramatic Composition and Art. Scholarly Press (1896)

    Google Scholar 

Download references

Acknowledgments

The authors would like to thank Kyungyeon Moon, Wonjae Lee, and Bong Gwan Jun for helpful comments. This work was supported by the National Research Foundation of Korea (NRF-20100004910 and NRF-2013S1A3A2055285), BK21 Plus Postgraduate Organization for Content Science, and the Digital Contents Research and Development program of MSIP (R0184-15-1037, Development of Data Mining Core Technologies for Real-time Intelligent Information Recommendation in Smart Spaces).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Juyong Park .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Min, S., Park, J. (2016). Network Science and Narratives: Basic Model and Application to Victor Hugo’s Les Misérables. In: Cherifi, H., Gonçalves, B., Menezes, R., Sinatra, R. (eds) Complex Networks VII. Studies in Computational Intelligence, vol 644. Springer, Cham. https://doi.org/10.1007/978-3-319-30569-1_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-30569-1_19

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30568-4

  • Online ISBN: 978-3-319-30569-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics