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Web Mining and Online Visibility

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Book cover Classification — the Ubiquitous Challenge

Abstract

In order to attract web visitors via the internet online activities have to be “visible” in the net. Thus, visibility measurement of web sites and strategies how to optimize Online Visibility are important. Here, web mining helps to define benchmarks with respect to competition and allows to calculate visibility indices as predictors for site traffic.

We use information like keyword density, incoming links, and ranking positions in search engines to measure Online Visibility. We also mention physical and psychological drivers of Online Visibility and describe the appropriateness of different concepts for measurement issues.

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References

  • BARABASI, A. and ALBERT, R. (1999): Emergence of Scaling in Random Networks. Science, 286, 509–512.

    Article  MathSciNet  Google Scholar 

  • BRIN, S. and PAGE, L. (1998): The Anatomy of a Large-Scale Hypertextual Web Search Engine. Proceedings of the 7th International World Wide Web Conference, WWW7, 107–117.

    Google Scholar 

  • BRODER, A., KUMAR, R., MAGHOUL, F., RAGHAVAN, P., RAJAGOPALAN, S., STATA, R., TOMKINS, A. and WIENER, J. (2000): Graph Structure in the Web: Experiments and Models. Computer Networks, 33, 309–320.

    Article  Google Scholar 

  • DRÈZE, X. and ZUFRYDEN, F. (2003): The Measurement of Online Visibility and its Impact on Internet Traffic. Journal of Interactive Marketing, 18(1), 20–37.

    Article  Google Scholar 

  • FISCHERLÄNDER, S. (2003): Websites Google-gerecht-Ganz nach oben.iX 08/2003, 84–87.

    Google Scholar 

  • HÄOLSCHER, C. (1998): How Internet Experts Search for Information on the Web. In: H. Maurer and R.G. Olson (Eds.): Proceedings of WebNet98-World Conference of the WWW, Internet and Intranet. AACE, Charlottesville, VA.

    Google Scholar 

  • JANSEN, B., SPINK, A. and SARACEVIC, T. (2000): Real Life, Real Users, and Real Needs: A Study Analysis of User Queries on the Web. Information Processing and Management, 36, 207–227.

    Article  Google Scholar 

  • JOHNSON, E.J. (2002): On the Depth and Dynamics of Online Search Behavior. Department of Marketing, Columbia Business School, Columbia University.

    Google Scholar 

  • KLEINBERG, J. (1999): Authoritative Sources in a Hyperlinked Environment. Journal of the ACM, 46(5), 604–632.

    Article  MATH  MathSciNet  Google Scholar 

  • SILVERSTEIN, C., HENZINGER, M., MARAIS, H. and MORICZ, M. (1999): Analysis of a Very Large AltaVista Query Log. SIGIR Forum, 33(1), 599–621.

    Google Scholar 

  • Webhits (2004): Web-Barometer, Nutzung von Suchmaschinen, www.webhits.de, last visited April 14, 2004.

    Google Scholar 

  • WebSideStory (2003): Search Engine Referrals Nearly Double Worldwide, According to WebSideStory, March 2003, www.websidestory.com, last visited March 18, 2004.

    Google Scholar 

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© 2005 Springer-Verlag Berlin · Heidelberg

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Schmidt-Mänz, N., Gaul, W. (2005). Web Mining and Online Visibility. In: Weihs, C., Gaul, W. (eds) Classification — the Ubiquitous Challenge. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-28084-7_48

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