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A cross-country study on cultural similarities based on book preferences

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Abstract

What people choose to read is believed to be highly influenced by their cultural backgrounds and environment. Thus, understanding the cultural and socioeconomic factors that have significant relations with the reading preferences of nations can be of great importance for the book retail industry. These insights can have applications in recommender systems, sales predictions, and customer relationship management. Motivated by these values, we conducted a large-scale cross-country analysis of cultural similarities and differences based on book preferences using data collected from Goodreads. We use bipartite configuration model and community detection to explore the relationships between countries based on their book preferences. We also investigate the similarities between countries based on their favorite genres and authors. Additionally, this paper explores the significance of cultural, lingual, and socioeconomics factors on book preferences using quadratic assignment procedure statistical tests. Our results indicate that geographical distance, lingual distance, cognitive ability, intelligence quotient, and individualism are all significantly associated with book preference at the country level.

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Notes

  1. The datasets analyzed during the current study are available in the Most Read Books repository, https://github.com/nazaninsbr/Most-Read-Books

  2. https://www.hofstede-insights.com/models/national-culture/

  3. https://data.worldbank.org/indicator/NY.GDP.MKTP.CD?name_desc=false

  4. (https://www.ezglot.com/most-similar-languages.php)

  5. (https://www.ezglot.com/most-similar-languages.php)

  6. (https://www.goodreads.com/author_blog_posts/14538341-who-is-the-average-goodreads-user-you-ll-be-surprised)

References

  • Addey C (2008) Readers and non-readers: a cross-cultural study in Italy and the UK. Aracne

  • Alaveras G, Gomez-Herrera E, Martens B (2018) Cross-border circulation of films and cultural diversity in the EU. J Cult Econ 42(4):645–676

    Article  Google Scholar 

  • Annalyn N, Bos M, Sigal L, Li B (2018) Predicting personality from book preferences with user-generated content labels. IEEE Tran Affect Comput. https://doi.org/10.1109/TAFFC.2018.2808349

  • Bastian M, Heymann S, Jacomy M (2009) Gephi: an open source software for exploring and manipulating networks. In: Third international AAAI conference on weblogs and social media

  • Blondel V, Guillaume J, Lambiotte R, Lefebvre E (2008) Fast unfolding of communities in large networks. J Stat Mech Theory Exp 2008(10):P10008

    Article  Google Scholar 

  • Brunsø K, Grunert K (1998) Cross-cultural similarities and differences in shopping for food. J Bus Res 42(2):145–150

    Article  Google Scholar 

  • Butts CT, Butts MC. Package ‘SNA’

  • Callahan E (2005) Cultural similarities and differences in the design of university web sites. J Comput Mediat Commun 11(1):239–273

    Article  Google Scholar 

  • Chan S R, Edo J, Bee H R (2016) Global habitus: collectivist and individualist values in cultural capital among Chinese Malaysian youth. J Malays Stud 34(1):35–57

    Google Scholar 

  • Dimitrov S, Zamal F, Piper A, Ruths D (2015) Goodreads versus amazon: the effect of decoupling book reviewing and book selling. In Ninth international AAAI conference on web and social media

  • Driscoll B, Rehberg SD (2019) Faraway, so close: seeing the intimacy in Goodreads reviews. Qual Inq 25(3):248–59

    Article  Google Scholar 

  • Fredrickson MM, Chen Y (2019) Permutation and randomization tests for network analysis. Soc Netw 59:171–83

    Article  Google Scholar 

  • Ger G, Belk RW (1996) Cross-cultural differences in materialism. J Econ Psychol 17(1):55–77

    Article  Google Scholar 

  • Hofstede G (1984) Cultural dimensions in management and planning. Asia Pacific J Manag 1(2):81–99

    Article  Google Scholar 

  • Hofstede G (1986) Cultural differences in teaching and learning. Int J Intercult Relat 10(3):301–320

    Article  Google Scholar 

  • https://data.worldbank.org/indicator/NY.GDP.MKTP.CD?name_desc=false. Accessed 4 Feb 2020

  • https://www.ezglot.com/most-similar-languages.php. Accessed 5 Feb 2020

  • https://www.goodreads.com/author_blog_posts/14538341-who-is-the-average-goodreads-user-you-ll-be-surprised. Accessed 4 Feb 2020

  • https://www.hofstede-insights.com/models/national-culture/. Accessed 7 Feb 2020

  • Johnson DD (1973) Sex differences in reading across cultures. Read Res Quart 67–86. https://doi.org/10.2307/747228

  • Joy S, Kolb DA (2009) Are there cultural differences in learning style? Int J Intercult Relat 33(1):69–85

    Article  Google Scholar 

  • Kofmel K (2013) Solitary act and social interaction: adults reading science fiction and fantasy. In: Proceedings of the annual conference of CAIS

  • Kousha K, Thelwall M, Abdoli M (2017) Goodreads reviews to assess the wider impacts of books. J Assoc Inf Sci Technol 68(8):2004–2016

    Article  Google Scholar 

  • Liu M, Hu X, Schedl M (2018) The relation of culture, socio-economics, and friendship to music preferences: a large-scale, cross-country study. PLoS ONE 13(12):e0208186

    Article  Google Scholar 

  • Lynn R, Meisenberg G (2010) National IQs calculated and validated for 108 nations. Intelligence 38(4):353–360

    Article  Google Scholar 

  • Maity SK, Panigrahi A, Mukherjee A (2017) Book reading behavior on Goodreads can predict the amazon best sellers. In: Proceedings of the 2017 IEEE/ACM international conference on advances in social networks analysis and mining

  • Mayer T, Zignago S (2011) Notes on CEPII’s distances measures: the geoDist database. SSRN Electron J. https://doi.org/10.2139/ssrn.1994531

  • Mazzoni SA, Gambrell LB, Korkeamaki RL (1999) A cross-cultural perspective of early literacy motivation. Read Psychol 20(3):237–253

    Article  Google Scholar 

  • Neal Z (2014) The backbone of bipartite projections: inferring relationships from co-authorship, co-sponsorship, co-attendance and other co-behaviors. Soc Netw 39(1):84–97

    Article  Google Scholar 

  • Rindermann H, Sailer M, Thompson J (2009) The impact of smart fractions, cognitive ability of politicians and average competence of peoples on social development. Talent Dev Excell 1(1):3–25

    Google Scholar 

  • Saracco F, Straka M, Clemente R, Gabrielli A, Caldarelli G, Squartini T (2017) Inferring monopartite projections of bipartite networks: an entropy-based approach. New J Phys 19(5):053022

    Article  Google Scholar 

  • Schutte NS, Malouff JM (2004) University student reading preferences in relation to the big five personality dimensions. Read Psychol 25(4):273–95

    Article  Google Scholar 

  • Simpson W (2001) QAP: the quadratic assignment procedure. In: North American STATA users’ group meeting

  • Takara Y (2018) Do cultural differences affect the trade of cultural goods? A study in trade of music. J Cult Econ 42(3):393–417

    Article  Google Scholar 

  • Thelwall M, Kousha K (2016) Goodreads: a social network site for book readers. J Assoc Inf Sci Technol 68(4):972–983

    Article  Google Scholar 

  • Weber EU, Hsee C (1998) Cross-cultural differences in risk perception, but cross-cultural similarities in attitudes towards perceived risk. Manag Sci 44(9):1205–1217

    Article  Google Scholar 

  • Xiao J, Gao W (2020) Connecting the dots: reader ratings, bibliographic data, and machine-learning algorithms for monograph selection. Ser Lib 1–6. https://doi.org/10.1080/0361526X.2020.1707599

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Authors and Affiliations

  1. School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran

    Nazanin Sabri, Sadaf Sadeghian & Behnam Bahrak

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  1. Nazanin Sabri
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  2. Sadaf Sadeghian
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  3. Behnam Bahrak
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Correspondence to Nazanin Sabri.

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Sabri, N., Sadeghian, S. & Bahrak, B. A cross-country study on cultural similarities based on book preferences. Soc. Netw. Anal. Min. 10, 86 (2020). https://doi.org/10.1007/s13278-020-00695-y

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