Abstract
The World-Wide Web may be conceived as a web of genres; a network of different web page genres connected by links. The chapter outlines an exploratory empirical investigation of genre connectivity in an academic web space.
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Notes
- 1.
Webometrics is the study of quantitative aspects of information resources, structures and technologies on the Web, drawing on bibliometric and informetric approaches from Library and Information Science [5].
- 2.
- 3.
As noted, the overall study in this chapter had focus on small-world aspects of link structures in academic web spaces. Of course, network analytic approaches to genre connectivity could also be based on data from non-academic web spaces and without focus on small-world aspects of these web spaces.
- 4.
Available at http://vlado.fmf.uni-lj.si/pub/networks/pajek/
References
Agatucci, C. 2000. Cyber rhetoric (3): web genres & purposes. Available in Internet Archive: http://web.archive.org/web/20000920061159/http://www.cocc.edu/hum299/lessons/rhet3.html
Bharat, K., and M.R. Henzinger. 1998. Improved algorithms for topic distillation in a hyperlinked environment. In Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 104–111. ACM Press.
Björneborn, L. 2004. Small-world link structures across an academic web space: A library and information science approach. PhD thesis, Royal School of Library and Information Science, Copenhagen, Denmark. http://www.iva.dk/lb
Björneborn, L. 2006. “Mini small worlds” of shortest link paths crossing domain boundaries in an academic Web space. Scientometrics 68(3):395–414.
Björneborn, L., and P. Ingwersen. 2004. Toward a basic framework for webometrics. Journal of the American Society for Information Science and Technology 55(14):1216–1227.
Broder, A., R. Kumar, F. Maghoul, P. Raghavan, S. Rajagopalan, R. Stata, A. Tomkins, and J. Wiener, J. 2000. Graph structure in the Web. Computer Networks 33(1–6):309–320.
Crowston, K., and M. Williams. 2000. Reproduced and emergent genres of communication on the World Wide Web. The Information Society 16:201–215.
Davison, B.D. 2000. Topical locality in the Web. In Proceedings of the 23rd annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 272–279. ACM Press.
Haas, S.W., and E.S. Grams. 1998. Page and link classifications: connecting diverse resources. In Proceedings of the 3rd ACM Conference on Digital Libraries, 99–107.
Haas, S.W., and E.S. Grams. 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.
Koehler, W. 1999. Classifying Web sites and Web pages: The use of metrics and URL characteristics as markers. Journal of Librarianship and Information Science 31(1):297–307.
Milgram, S. 1967. The small-world problem. Psychology Today 1(1):60–67.
Newman, M.E.J. 2001. The structure of scientific collaboration networks. Proceedings of the National Academy of Sciences, 98(2):404–409.
Rehm, G. 2002. Towards automatic web genre identification: A corpus-based approach in the domain of academia by example of the academic’s personal homepage. In Proceedings of the 35th Hawaii International Conference on System Sciences, IEEE Computer Society, vol. 4, 101–110.
Steyvers, M., and J.B. Tenenbaum. 2005. The large-scale structure of semantic networks: statistical analyses and a model for semantic growth. Cognitive Science 29(1):41–78.
Thelwall, M. 2002/2003. A free database of university web links: data collection issues. Cybermetrics 6/7(1): paper 2. http://www.cindoc.csic.es/cybermetrics/articles/v6i1p2.html
Thelwall, M. 2003. What is this link doing here? Beginning a fine-grained process of identifying reasons for academic hyperlink creation. Information Research 8(3): paper 151. http://informationr.net/ir/8-3/paper151.html
Thelwall, M., and G. Harries. 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.
Watts, D.J., and S.H. Strogatz. 1998. Collective dynamics of “small-world” networks. Nature 393(June 4): 440–442.
Weare, C., and W.-Y. Lin. 2000. Content analysis of the World Wide Web: opportunities and challenges. Social Science Computer Review 18(3):272–292.
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Björneborn, L. (2010). Genre Connectivity and Genre Drift in a Web of Genres. In: Mehler, A., Sharoff, S., Santini, M. (eds) Genres on the Web. Text, Speech and Language Technology, vol 42. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9178-9_12
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