Abstract
This study performs a webometric analysis to explore the communication characteristics of scientific knowledge in a national scholarly Web space comprising top ranking universities and government supported research institutions in South Korea. We found significant differences in scholarly communication activity as well as linking behavior among different subspaces in addition to institutional differences. We also found the usefulness of the ADM approach in analyzing the metric data containing extreme outliers and discovered the directory model as the most appropriate. Page counts were found significantly correlated with inlinks as well as with outlinks at the directory level in the whole scholarly Web space.
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References
Bar-Ilan, J. (2004), A microscopic link analysis of academic institutions within a country — The case of Israel, Scientometrics, 59(3): 391–403.
Bar-Ilan, J. (2005), What do we know about links and linking? A framework for studying inlinks in academic environments, Information Processing and Management, 41: 973–986.
Bjorneborn, L., Small-world link structures across an academic Web space: A library and information science approach, Royal School of Library and Information Science, Copenhagen, 2004.
Chu, H., He, S., Thelwall, M. (2002), Library and information science schools in Canada and USA: A webometric perspective, Journal of Education for Library and Information Science, 43(2): 110–125.
Faba-Perez, C., Zapico-Alonso, F., Guerrero-Bote, V. P. (2005), Comparative analysis of webometric measurements in thematic environments, Journal of the American Society for Information Science and Technology, 56(8): 779–785.
Haas, S. W., Grams, E. S. (2000), Readers, authors, and page structure: A discussion of four questions arising from a content analysis of web pages, Journal of the American Society for Information Science, 51(2):181–192.
Harries, G., Wilkinson, D., Price, L., Fairclough, R., Thelwall, M. (2004), Hyperlinks as a data source for science mapping, Journal of Information Science, 30(5): 436–447.
Harter, S. P., Ford, C. E. (2000), Web-based analysis of e-journal impact: Approaches, problems, and issues, Journal of the American Society for Information Science, 51(3): 1157–1176.
Ingwersen, P. (1998), The calculation of Web Impact Factors, Journal of Documentation, 54(2): 236–243.
Kamada, T., Kawai, S. (1989), An algorithm for drawing general undirected graphs, Information Processing Letters, 31(1):7–15.
Kousha, K., Thelwall, M. (2007a), Google scholar citations and Google Web/URL citations: A multidiscipline exploratory analysis, Journal of the American Society for Information Science and Technology, 58(7): 1055–1065.
Kousha, K., Thelwall, M. (2007b), How is science cited on the Web? A classification of Google unique Web citations, Journal of the American Society for Information Science and Technology, 58(11): 1631–1644.
Li, X. (2003), A review of the development and application of the Web impact factor, Online Information Review, 27(6): 407–417.
Li, X., Thelwall, M., Musgrove, P., Wilkinson, D. (2003), The relationship between the links/Web Impact Factors of computer science departments in UK and their RAE(Research Assessment Exercise) ranking in 2001, Scientometrics, 57(2): 239–255.
Qiu, J., Chen, J., Wang, Z. (2004), An analysis of backlink counts and Web Impact Factors for Chinese university websites, Scientometrics, 60(3): 463–473.
Tang, R., Thelwall, M. (2003), Disciplinary differences in US academic departmental Web site interlinking, Library & Information Science Research, 25(4): 437–458.
Tang, R., Thelwall, M. (2004), Patterns of national and international Web inlinks to US academic departments: An analysis of disciplinary variations, Scientometrics, 60(3): 475–485.
Thelwall, M. (2001a), Extracting macroscopic information from Web links, Journal of the American Society for Information Science and Technology, 52(13): 1157–1168.
Thelwall, M. (2001b), Results from a Web Impact Factor crawler, Journal of Documentation, 57(2): 177–191.
Thelwall, M. (2002a), A comparison of sources of links for academic Web impact factor calculations, Journal of Documentation, 58(1): 60–72.
Thelwall, M. (2002b), Conceptualizing documentation on the Web: An evaluation of different heuristicbased models for counting links between university Web sites, Journal of the American Society for Information Science and Technology, 53(12): 995–1005.
Thelwall, M. (2002c), A research and institutional size based model for national university Web site interlinking, Journal of Documentation, 58(6): 683–694.
Thelwall, M. (2002d), The top 100 linked-to pages on UK university Web sites: High inlink counts are not usually associated with quality scholarly content, Journal of Information Science, 28(6): 483–491.
Thelwall, M. (2003), Web use and peer interconnectivity metrics for academic Web sites, Journal of Information Science, 29: 1–10.
Thelwall, M. (2004), Link Analysis: An Information Science Approach, Elsevier, Amsterdam.
Thelwall, M., Harries, G. (2003), The connection between the research of a university and counts of links to its Web pages: An investigation based upon a classification of the relationships of pages to the research of the host university, Journal of the American Society for Information Science and Technology, 54(7): 594–602.
Thelwall, M., Harries, G. (2004), Do better scholars’ Web publications have significantly higher online impact? Journal of the American Society for Information Science and Technology, 55(2): 149–159.
Thelwall, M., Harries, G., Wilkinson, D. (2003), Why do Web sites from different academic subjects interlink? Journal of Information Science, 29(6): 453–471.
Thelwall, M., Smith, A. G. (2002), A study of the interlinking between Asia-Pacific university Web sites, Scientometrics, 55(3): 363–376.
Thelwall, M., Tang, R. (2003), Disciplinary and linguistic considerations for academic Web linking: An exploratory hyperlink mediated study with Mainland China and Taiwan, Scientometics, 58(1): 155–181.
Thelwall, M., Tang, R., Price, L. (2003), Linguistic patterns of academic Web use in Western Europe, Scientometrics, 56(3): 417–432.
Thelwall, M., Vaughan, L., Bjorneborn, L. (2005), Webometrics, Annual Review of Information Science and Technology, 39: 81–135.
Thelwall, M., Vaughan, L., Cothey, V., Li, X., Smith, A. (2003), Which academic subjects have most online impact? A pilot study and a new classification process, Online Information Review, 27(5): 333–343.
Thomas, O., Willett, P. (2000), Webometric analysis of departments of librarianship and information science, Journal of Information Science, 26(6): 421–428.
Vaughan, L. (2006), Visualizing linguistic and cultural differences using Web co-link data, Journal of the American Society for Information Science and Technology, 57(9): 1178–1193.
Vaughan, L., Kipp, M. E. I., Gao, Y. (2007), Why are Websites co-linked? The case of Canadian universities, Scientometrics, 72(1): 81–92.
Vaughan, L., Shaw, D. (2003), Bibliographic and Web citations: What is the difference? Journal of the American Society for Information Science and Technology, 54(14): 1313–1324.
Vaughan, L., Thelwall, M. (2003), Scholarly use of the Web: What are the key inducers of links to journal Web sites? Journal of the American Society for Information Science and Technology, 54(1): 29–38.
Vaughan, L., Thelwall, M. (2005), A modeling approach to uncover hyperlink patterns: The case of Canadian universities, Information Processing & Management, 41(2): 347–359.
Wilkinson, D., Harries, G., Thelwall, M., Price, E. (2003), Motivations for academic Web site interlinking: Evidence for the Web as a novel source of information on informal scholarly communication, Journal of Information Science, 29(1): 59–66.
Zuccala, A. (2006), Author cocitation analysis is to intellectual structure as Web colink analysis is to …? Journal of the American Society for Information Science and Technology, 57(11): 1487–1502.
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Chung, Y.M., Yu, S.Y., Kim, Y.K. et al. Characteristics and link structure of a national scholarly Web space: The case of South Korea. Scientometrics 80, 595–612 (2009). https://doi.org/10.1007/s11192-008-2091-y
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DOI: https://doi.org/10.1007/s11192-008-2091-y