Impact of Different Domain Inlink, Outlink and Rechability on Relevance of Web Page Using Correlation

Abstract

Web site users are increasing promptly and because of that web structure mining becomes more difficult. Web structure mining plays a big role in search engine optimization. There are many algorithms which mines the web structures. HITS and PageRank are two basic algorithms which works on web structure mining. Other algorithm uses these algorithms and added different parameters like bookmarked users, number of visits, topic, anchor text, popularity and content to calculate web page score. In this paper we introduce new parameters, inlink, outlink and reachability which helps to reduce mutual reinforcement effect on web page ranking. We collected data set on "abortion" keyword. We analyzed that data set and generated score for reachability and inlink and outlink from different domain. We have observed that data set and found that there is a positive correlation between these parameters and relativity of web page. We used Pearson correlation technique to find correlation co-efficient.