Study of a Random Navigation on the Web Using Software Simulation

Abstract

The general information about the World Wide Web are especially nowadays useful in all types of communications. The most used model for simulating the functioning of the web is through the hypergraph. The surfer model was chosen from the known algorithms used for web navigation in this simulation. The main objective of this paper is to analyze the Page Rank and its dependency of Markov Chain Length. In this paper some software implementation are presented and used. The experimental results demonstrate the differences between the Algorithm Page Rank and Experimental Page Rank.