Skip to main content

On the Gender of Books: Author Gender Mixing in Book Communities

  • Conference paper
  • First Online:
Complex Networks & Their Applications VI (COMPLEX NETWORKS 2017)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 689))

Included in the following conference series:

  • 4773 Accesses

Abstract

Using a book co-buying network from amazon.com of over 1 million books, we find empirically that readers who have purchased male first authors before are substantially less likely than expected to buy books by female first authors, when aggregated across the entire book market. Conversely, past buyers of female authors are slightly more likely than expected to buy other female authors. This same-gender assortativity is found to be local: certain writing genres are “coloured” preferentially by one gender. This can be attributed both to writer availability (i.e., a gender’s preferential attachment to writing for one genre), and to the buyers’ preferential attachment to the output of writers of one gender. We obtain these insights by classifying the gender of the first author for most of the books, then running statistical tests which compare the gender makeup of books co-bought with either male or female books. Structural book communities, as generated from readers’ co-buying choices, are computed, visualised in terms of gender makeup, and their writing genres are summarised to match the genre with a gender makeup.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
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

Institutional subscriptions

Notes

  1. 1.

    www.openisbn.com/.

  2. 2.

    www.cs.cmu.edu/afs/cs/project/ai-repository/ai/areas/nlp/corpora/names/.

  3. 3.

    www.github.com/malev/gender-detector.

  4. 4.

    This non-assortativity of Amazon book co-buying graphs is confirmed by the assortativity coefficients of other Amazon crawls public at http://networkrepository.com/.

References

  1. Blondel, V.D., Guillaume, J.L., Lambiotte, R., Lefebvre, E.: Fast unfolding of communities in large networks. J. Stat. Mech. Theory Exp. (10), P10008

    Google Scholar 

  2. Fortunato, S.: Community detection in graphs. Phys. Rep. 486(3), 75–174. https://doi.org/10.1016/j.physrep.2009.11.002

  3. Ghiasi, G., Larivire, V., Sugimoto, C.R.: On the compliance of women engineers with a gendered scientific system. PLOS ONE 10(12), 1–19 (2016). https://doi.org/10.1371/journal.pone.0145931

  4. Krebs, V.: Divided we stand? (2003). http://orgnet.com/leftright.html

  5. Krebs, V.: The social life of books, visualizing communities of interest via purchase patterns on the WWW (2004). http://orgnet.com/booknet.html

  6. Lancichinetti, A., Fortunato, S.: Community detection algorithms: a comparative analysis. Phys. Rev. E 80, 056117 (2009). https://doi.org/10.1103/PhysRevE.80.056117

  7. Leskovec, J., Faloutsos, C.: Sampling from large graphs. In: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2006, pp. 631–636 (2006)

    Google Scholar 

  8. Massen, J.J.M., Bauer, L., Spurny, B., Bugnyar, T., Kret, M.E.: Sharing of science is most likely among male scientists. Sci. Rep. 7(12927) (2017). https://doi.org/10.1038/s41598-017-13491-0

  9. McAuley, J., Targett, C., Shi, Q., van den Hengel, A.: Image-based recommendations on styles and substitutes. In: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2015, pp. 43–52 (2015)

    Google Scholar 

  10. Shi, F., Shi, Y., Dokshin, F.A., Evans, J.A., Macy, M.W.: Millions of online book co-purchases reveal partisan differences in the consumption of science. Nat. Hum. Behav., 0079

    Google Scholar 

  11. Thelwall, M.: Book genre and author gender: Romance paranormal-romance to autobiography memoir. J. Assoc. Inf. Sci. Technol. 68(5), 1212–1223 (2017)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Doina Bucur .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Bucur, D. (2018). On the Gender of Books: Author Gender Mixing in Book Communities. In: Cherifi, C., Cherifi, H., Karsai, M., Musolesi, M. (eds) Complex Networks & Their Applications VI. COMPLEX NETWORKS 2017. Studies in Computational Intelligence, vol 689. Springer, Cham. https://doi.org/10.1007/978-3-319-72150-7_64

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-72150-7_64

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-72149-1

  • Online ISBN: 978-3-319-72150-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics