Skip to main content

Keywords Co-occurrence Analysis to Map New Topics and Recent Trends in Social Research Methods

  • Conference paper
  • First Online:

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1151))

Abstract

The new challenges arising from the complexity of contemporary society, the availability of different kinds of data and new data sources, in addition to the data analytics tools that merge different disciplines are contributing to a reconfiguration of Social Research Methods. This article aims to analyze the keywords of 985 scientific papers published from 2003 to 2018 in three main methodological journals in order to identify the trending topics and the leading edges of Social Research Methods. To do this, we carried out empirical research aimed at investigating the recurring themes and the possible new directions of this scientific domain by building and analyzing a bibliometric dataset through an analysis of keywords co-occurrence based on both network and factorial approaches.

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   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
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

References

  1. Castellani, B., Hafferty, F.W.: Sociology and Complexity Science: A New Field of Inquiry. Springer, Heidelberg (2009)

    Book  Google Scholar 

  2. Savage, M., Burrows, R.: The coming crisis of empirical sociology. Sociology 41(5), 885–899 (2007)

    Article  Google Scholar 

  3. Kitchin, R.: The Data Revolution: Big Data, Open Data, Data Infrastructures and Their Consequences. Sage, Thousand Oaks (2014)

    Google Scholar 

  4. Gerlitz, C., Helmond, A.: The like economy: social buttons and the data intensive web. New Media Soc. 15(8), 1348–1365 (2013)

    Article  Google Scholar 

  5. Lupton, D.: Digital Sociology. Routledge, New York (2014)

    Book  Google Scholar 

  6. Marres, N.: Digital Sociology: The Reinvention of Social Research. Wiley, New York (2017)

    Google Scholar 

  7. Rogers, R.: Digital methods for web research. Emerging trends in the social and behavioral sciences: an interdisciplinary, searchable, and linkable resource, pp. 1–22 (2015)

    Google Scholar 

  8. Lombi, L.: La ricerca sociale al tempo dei Big Data: sfide e prospettive. Studi di sociologia 215–227 (2015)

    Google Scholar 

  9. Garfield, E.: Is citation analysis a legitimate evaluation tool? Scientometrics 1(4), 359–375 (1979)

    Article  Google Scholar 

  10. Leydesdorff, L., Milojević, S.: Scientometrics (2012). arXiv preprint arXiv:1208.4566

  11. Mingers, J., Leydesdorff, L.: A review of theory and practice in scientometrics. Eur. J. Oper. Res. 246(1), 1–19 (2015)

    Article  Google Scholar 

  12. Guler, A.T., Waaijer, C.J., Palmblad, M.: Scientific workflows for bibliometrics. Scientometrics 107(2), 385–398 (2016)

    Article  Google Scholar 

  13. Guler, A.T., Waaijer, C.J., Mohammed, Y., Palmblad, M.: Automating bibliometric analyses using Taverna scientific workflows: a tutorial on integrating Web Services. J. Informetr. 10(3), 830–841 (2016)

    Article  Google Scholar 

  14. Callon, M., Courtial, J.-P., Turner, W.A., Bauin, S.: From translations to problematic networks: an introduction to co-word analysis. Soc. Sci. Inf. 22(2), 191–235 (1983)

    Article  Google Scholar 

  15. Aria, M., Cuccurullo, C.: bibliometrix: An R-tool for comprehensive science mapping analysis. J. Informetr. 11(4), 959–975 (2017)

    Article  Google Scholar 

  16. Salton, G., Buckley, C.: Term-weighting approaches in automatic text retrieval. Inf. Process. Manag. 24(5), 513–523 (1988)

    Article  Google Scholar 

  17. Beach, D., Pedersen, R.B.: Selecting appropriate cases when tracing causal mechanisms. Sociol. Methods Res. 47(4), 837–871 (2018)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Maria Carmela Catone .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Catone, M.C., Diana, P., Giordano, G. (2020). Keywords Co-occurrence Analysis to Map New Topics and Recent Trends in Social Research Methods. In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds) Advanced Information Networking and Applications. AINA 2020. Advances in Intelligent Systems and Computing, vol 1151. Springer, Cham. https://doi.org/10.1007/978-3-030-44041-1_93

Download citation

Publish with us

Policies and ethics