Visualization of PageRank Algorithm by Using Multi-agent Model for Education
Yuki Yasuda, Naoto Mukai, Naohiro Ishii · 2013
Google have the largest share of search engines in the world. The essential reason for that is the algorithm called "PageRank" which ranks web pages with great accuracy according to user's intents. However, most of users does not know the detail of the algorithm well enough. Therefore, in this paper, we try to visualize the behavior of the algorithm by using a multi-agent simulator called Artisoc in order to help learners to understand the algorithm. Moreover, 18 students in our university are asked in a questionnaire how they feel about the algorithm visualization, and we report the result of the questionnaire.