BACKLINK ANALYSIS USING MOZRANK ALGORITHM OF BLOGS

Abstract

Social networking has become very popular during the past few years, but it can still very difficult to understand for someone new to social networking. Social networking is based on a certain structure that allow people to both express their individuality and meet people with similar interests. This structure includes having profiles, friends, blog posts, widgets, and usually something unique to that particular social networking website such as the ability to ‘poke’ people on facebook or hi5. Blogs is another feature of some social networks is the ability to create own blog entries. While not as feature rich as blog hosts like wordpress or blogger, blogging through a social network is perfect for keeping people informed on own information. This paper represents a web page ranking algorithm using mozrank algorithm for blog searching and the ranking web sites. In this algorithm can be using online tool. The majesticseo and open site explorer using blog page ranking with the mozrank algorithm. Blog search engine uses the page rank algorithm to assign quantitatively authority values to blog web pages in a network.