‘Hyperlink Analysis on the World Wide Web’, Monika Rauch Henzinger, Hypertext, 2005

Abstract: We give a short survey of the use of hyperlink analysis in web search engine ranking. Additionally we sketch other applications of hyperlink analysis in the web space.

<----------------------->

‘Identifying Link Farm Spam Pages‘, Baoning Wu and Brian D. Davison, Proceedings of the 14th International WWW Conference, 2005

Abstract: With the increasing importance of search in guiding today’s web traffic, more and more effort has been spent to create search engine spam. Since link analysis is one of the most important factors in current commercial search engines’ranking systems, new kinds of spam aiming at links have appeared. Building link farms is one technique that can deteriorate link-based ranking algorithms. In this paper, we present algorithms for detecting these link farms automatically by first generating a seed set based on the common link set between incoming and outgoing links of Web pages and then expanding it. Links between identified pages are reweighted, providing a modified web graph to use in ranking page importance. Experimental results show that we can identify most link farm spam pages and the final ranking results are improved for almost all tested queries.

<

‘Spam Damn Spam And Statistics: Using statistical analysis to locate spam web pages‘, Dennis Fetterly, Mark Manasse, Marc Najork, Microsoft Research, 2004.

Abstract: We propose that some spam web pages can be identified through statistical analysis: Certain classes of spam pages, in particular those that are machine-generated, diverge in some of their properties from the properties of web pages at large. We have examined a variety of such properties, including linkage structure, page content, and page evolution, and have found that outliers in the statistical distribution of these properties are highly likely to be caused by web spam.