Influential analysis of web structure using graph based approach

Abstract

Abstract Web pages are documents commonly used as a container, which are stored in servers and accessible through the internet. This information can be retrieved through the use of browsers using mobiles, desktops and other computational devices. The challenge is these applications are they are expected to meet the user’s requirement to provide the best information with minimum time consumption. Not only for sharing quality information, but these web pages are also used for marketing, banking, healthcare applications and so on. In the growing financial era, the influence of a web page for marketing another web page is driving a new culture in the IT sector. The influence of a web page is one of the major roles when it comes to linking one page to the other page. In this paper, a graph-based method is proposed for analyzing how one web page can influence access of other web pages. This algorithm is used to discover the information flow patterns and their influences on the network structure. The main motive of the proposed work is to analyze the above-said metrics and verify the key pattern of linking flow and their influence in the network structure. The analysis of the proposed algorithm focuses on network structure along with navigation using edges among nodes in a weighted graph and facilitates the best method of accessing the designated web page.