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  3. 40. Social network analysis
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Social network analysis

  • Stephen M. Chignell(author)
Chapter of: The Field Guide to Mixing Social and Biophysical Methods in Environmental Research(pp. 555–562)
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Title Social network analysis
ContributorStephen M. Chignell(author)
DOIhttps://doi.org/10.11647/obp.0418.40
Landing pagehttps://www.openbookpublishers.com/books/10.11647/obp.0418/chapters/10.11647/obp.0418.40
Licensehttps://creativecommons.org/licenses/by-nc/4.0/
CopyrightStephen M. Chignell;
PublisherOpen Book Publishers
Published on2025-02-25
Long abstract

This chapter introduces social network analysis (SNA), providing a brief overview of its history, applications, and relationships with other methods.

Page rangepp. 555–562
Print length8 pages
LanguageEnglish (Original)
Locations
Landing PageFull text URLPlatform
PDFhttps://www.openbookpublishers.com/books/10.11647/obp.0418/chapters/10.11647/obp.0418.40Landing pagehttps://books.openbookpublishers.com/10.11647/obp.0418.40.pdfFull text URL
HTMLhttps://www.openbookpublishers.com/books/10.11647/obp.0418/chapters/10.11647/obp.0418.40Landing pagehttps://books.openbookpublishers.com/10.11647/obp.0418/ch40.xhtmlFull text URLPublisher Website
Contributors

Stephen M. Chignell

(author)
Postdoctoral Researcher at University of Bristol
https://orcid.org/0000-0002-8277-4338
References
  1. Gephi is a free and open-source network analysis and visualisation software with a large user community and tutorials, https://gephi.org/
  2. Borgatti, S.P., M.G. Everett, and J.C. Johnson. 2018. ‘Ego Networks’, in Analyzing Social Networks, ed. by S.P. Borgatti, M.G. Everett, and J.C. Johnson (Sage Publications), pp. 305–329.
  3. Martin Grandjean (Université de Lausanne) has produced a great series of brief YouTube videos introducing social network analysis, https://www.youtube.com/watch?v=lnLW6ITFY3Mandlist=PL4iQXwvEG8CQSy4T1Z3cJZunvPtQp4dRy, as well as a tutorial for how to do basic network analysis and visualisation using Gephi, https://www.youtube.com/watch?v=GXtbL8avpikandt=136s
  4. Bounegru, L., T. Venturini, J. Gray, and M. Jacomy. 2017. ‘Narrating networks’, Digital Journalism, 5.6, pp. 699–730. https://doi.org/10.1080/21670811.2016.1186497
  5. Chignell, S.M. 2023. ‘A missing link? Network analysis as an empirical approach for critical physical geography’, The Canadian Geographer / Le Géographe canadien, 67.1, pp. 52–73. https://doi.org/10.1111/cag.12767
  6. Chignell, S.M. and T. Satterfield. 2023. ‘Seeing beyond the frames we inherit: A challenge to tenacious conservation narratives’, People and Nature, 5.6, pp. 2107–2123. https://doi.org/10.1002/pan3.10550
  7. Chignell, S.M., A. Howkins, P. Gullett, and A.G. Fountain. 2022. ‘Patterns of interdisciplinary collaboration resemble biogeochemical relationships in the McMurdo Dry Valleys, Antarctica: a historical social network analysis of science, 1907–2016’, Polar Research, 41. https://doi.org/10.33265/polar.v41.8037
  8. Crossley, N., E. Bellotti, G. Edwards, M.G. Everett, J. Koskinen, and M. Tranmer. 2015. Social Network Analysis for Ego-Nets (Sage Publications). https://doi.org/10.4135/9781473911871
  9. Doel, M., Chapter 44, this volume. ‘Textual analysis.’
  10. Eder, F. 2022. ‘Discourse network analysis’, in Routledge Handbook of Foreign Policy Analysis Methods, ed. by P.A. Mello and F. Ostermann (Taylor and Francis). https://doi.org/10.4324/9781003139850-39
  11. Erikson, E. 2013. ‘Formalist and relationalist theory in social network analysis’, Sociological Theory, 31.3, pp. 219–242. https://doi.org/10.1177/0735275113501998
  12. van Geenen, D., J.W.Y. Gray, L. Bounegru, T. Venturini, M. Jacomy, and A. Meunier. 2023. ‘Staying with the trouble of networks’, Frontiers in Big Data, 5. https://doi.org/10.3389/fdata.2022.510310
  13. Hayat, T. and K. Lyons. 2017. ‘A typology of collaborative research networks’, Online Information Review, 41.2, pp. 155–170. https://doi.org/10.1108/oir-11-2015-0368
  14. Hogan, B. 2021. ‘Networks are a lens for power: A commentary on the recent advances in the ethics of social networks special issue’, Social Networks, 67, pp. 9–12. https://doi.org/10.1016/j.socnet.2020.12.003
  15. Jaspersen, L.J. and C. Stein. 2019. ‘Beyond the matrix: visual methods for qualitative network research’, British Journal of Management, 30.3, pp. 748–763. https://doi.org/10.1111/1467-8551.12339
  16. Longhurst, R. and Johnston, L., Chapter 27, this volume. ‘Focus groups.’
  17. Painter, D.T., B.C. Daniels, and J. Jost. 2019. ‘Network analysis for the digital humanities: Principles, problems, extensions’, Isis, 110.3, pp. 538–554. https://doi.org/10.1086/705532
  18. Sayles, J.S., M.M. Garcia, M. Hamilton, S.M. Alexander, J.A. Baggio, A.P. Fischer, K. Ingold, G.R. Meredith, and J. Pittman. 2019. ‘Social-ecological network analysis for sustainability sciences: a systematic review and innovative research agenda for the future’, Environmental Research Letters, 14.9. https://doi.org/10.1088/1748-9326/ab2619
  19. Sayre, N.F., Chapter 34, this volume. ‘Participant observation and ethnography.’
  20. Schiffer, E. and J. Hauck. 2010. ‘Net-map: Collecting social network data and facilitating network learning through participatory influence network mapping’, Field Methods, 22.3, pp. 231–249. https://doi.org/10.1177/1525822x10374798
  21. Stadtfeld, C., A. Vörös, T. Elmer, Z. Boda, and I.J. Raabe. 2018. ‘Integration in emerging social networks explains academic failure and success’, Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1811388115
  22. Tindall, D., J. McLevey, Y. Koop-Monteiro, and A. Graham. 2022. ‘Big data, computational social science, and other recent innovations in social network analysis’, Canadian Review of Sociology/Revue canadienne de sociologie, 59.2, pp. 271–288. https://doi.org/10.1111/cars.12377
  23. Venturini, T., M. Jacomy, and P. Jensen. 2021. ‘What do we see when we look at networks: visual network analysis, relational ambiguity, and force-directed layouts’, Big Data and Society, 8.1. https://doi.org/10.1177/20539517211018488
  24. Ye, X. and C. Andris. 2021. ‘Spatial social networks in geographic information science’, International Journal of Geographical Information Science, 35.12, pp. 2375–2379. https://doi.org/10.1080/13658816.2021.2001722

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