• 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