Ervin Perhaj (2013) VISUALIZATION OF PAGERANK ALGORITHM. EngD thesis.
Abstract
The goal of the thesis is to develop a web application that help users understand the functioning of the PageRank algorithm. The thesis consists of two parts. First we develop an algorithm to calculate PageRank values of web pages. The input of algorithm is a list of web pages and links between them. The user enters the list through the web interface. From the data the algorithm calculates PageRank value for each page. The algorithm repeats the process, until the difference of PageRank values between iterations is less than 0,0001. In the second part, we develop visualization of PageRank algorithm. The user can build his/her own network or select one of precreated ones. Web pages are represented as directed or undirected graphs, the size of the nodes represents PageRank value.
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