ABSTRACT
The web is one of the most predominant sources of information and knowledge mining as it contains a large amount of data and the data is also increasing day by day. The global use of Web leads to unprecedented development in many fields of real-life like education, social, commercial, etc. (DINUCĂ, 2011). For these purposes, visitors on websites use some methods to analyze the data on the web. To analysis, the Web, not only the content but the hyperlinks structure of the Web and its diversity also plays an important role (DINUCĂ, 2011). Such analysis can improve the user’s efficiency and effectiveness in searching for the required information. Web network analysis is used to identify the inter-relationship and intra-relationship between actors. In today’s scenario, Machine learning (ML) is constructive in retrieving the most related information required by the user. It finds the hidden basic structures and the hyperlinks between various nodes in the web network, which is very helpful in rapid and effective web searching.
