Refining Web Authoritative Resource by Frequent Structures

The web resource is a rich collection of the dynamic information that is useful in various disciplines There has also been much research work related to improving the quality of information searching in the web However, most of the work is still inadequate to satisfy a diversified demand from users In this paper, the hyperlinks in the web are exploited and a new approach called ESFP is proposed in order to improve the quality of research results obtain from search engines The essential idea of approach is to mine the frequent structures of links from a given web topology By using the SFP algorithm, the authoritative pages and communities are extracted from the complex web topology The approach proposed is demonstrated by running several experiments and it is shown that the functionalities of using the ESFP in managing search results are better than other known methods such as HITS