DocumentCode :
3510999
Title :
Visualization of PageRank Algorithm by Using Multi-agent Model for Education
Author :
Yasuda, Y. ; Mukai, Noriyuki ; Ishii, Naohiro
Author_Institution :
Dept. of Culture-Inf. Studies, Sugiyama Jogakuen Univ., Nagoya, Japan
fYear :
2013
fDate :
Aug. 31 2013-Sept. 4 2013
Firstpage :
409
Lastpage :
410
Abstract :
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.
Keywords :
computer aided instruction; data visualisation; educational institutions; multi-agent systems; search engines; Artisoc multiagent simulator; Google; PageRank algorithm visualization; educational technology; multiagent model; search engines; university students; user intent; Educational institutions; Electronic mail; Search engines; Teleportation; Visualization; Web pages; Algorithm Visualization; Multi-Agent Simulation; PageRank;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Applied Informatics (IIAIAAI), 2013 IIAI International Conference on
Conference_Location :
Los Alamitos, CA
Print_ISBN :
978-1-4799-2134-8
Type :
conf
DOI :
10.1109/IIAI-AAI.2013.66
Filename :
6630387
Link To Document :
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