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Visualizing linguistic and cultural differences using Web co‐link data

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  • Liwen Vaughan

Abstract

The study examined Web co‐links to Canadian university Web sites. Multidimensional scaling (MDS) was used to analyze and visualize co‐link data as was done in co‐citation analysis. Co‐link data were collected in ways that would reflect three different views, the global view, the French Canada view, and the English Canada view. Mapping results of the three data sets accurately reflected the ways Canadians see the universities and clearly showed the linguistic and cultural differences within Canadian society. This shows that Web co‐linking is not a random phenomenon and that co‐link data contain useful information for Web data mining. It is proposed that the method developed in the study can be applied to other contexts such as analyzing relationships of different organizations or countries. This kind of research is promising because of the dynamics and the diversity of the Web.

Suggested Citation

  • Liwen Vaughan, 2006. "Visualizing linguistic and cultural differences using Web co‐link data," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(9), pages 1178-1193, July.
    • Handle: RePEc:bla:jamist:v:57:y:2006:i:9:p:1178-1193
    DOI: 10.1002/asi.20398
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    Cited by:

    1. Enrique Orduna-Malea & Selenay Aytac, 2015. "Revealing the online network between university and industry: the case of Turkey," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1849-1866, December.
    2. Liwen Vaughan & Margaret E. I. Kipp & Yijun Gao, 2007. "Why are Websites co-linked? The case of Canadian universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(1), pages 81-92, July.
    3. Pamela Lang & Fábio C. Gouveia & Jacqueline Leta, 2010. "Site co-link analysis applied to small networks: a new methodological approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 157-166, April.
    4. Mike Thelwall & Alesia Zuccala, 2008. "A university-centred European Union link analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 407-420, June.
    5. Young Mee Chung & So Young Yu & Yong Kwang Kim & Su Yeon Kim, 2009. "Characteristics and link structure of a national scholarly Web space: The case of South Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(3), pages 595-612, September.
    6. José-Antonio Ontalba-Ruipérez & Enrique Orduna-Malea & Adolfo Alonso-Arroyo, 2016. "Identifying institutional relationships in a geographically distributed public health system using interlinking and co-authorship methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1167-1191, March.
    7. Bo Yang & Ying Sun, 2013. "An exploration of link-based knowledge map in academic web space," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 239-253, July.
    8. van Eck, N.J.P. & Waltman, L., 2009. "How to Normalize Co-Occurrence Data? An Analysis of Some Well-Known Similarity Measures," ERIM Report Series Research in Management ERS-2009-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    9. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    10. Simone Belli & Carlos Gonzalo-Penela, 2020. "Science, research, and innovation infospheres in Google results of the Ibero-American countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 635-653, May.
    11. Vaughan, Liwen & You, Justin, 2010. "Word co-occurrences on Webpages as a measure of the relatedness of organizations: A new Webometrics concept," Journal of Informetrics, Elsevier, vol. 4(4), pages 483-491.
    12. Jose Luis Ortega & Isidro Aguillo & Viv Cothey & Andrea Scharnhorst, 2008. "Maps of the academic web in the European Higher Education Area — an exploration of visual web indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(2), pages 295-308, February.

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