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Measuring credibility of users in an e-learning environment
KTH, School of Information and Communication Technology (ICT).
2007 (English)In: 16th International World Wide Web Conference, WWW2007, 2007, 1279-1280 p.Conference paper, Published paper (Refereed)
Abstract [en]

Learning Villages (LV) is an E-learning platform for people's online discussions and frequently citing postings of one another. In this paper, we propose a novel method to rank credit authors in the LV system. We first propose a k-EACM graph to describe the article citation structure in the LV system. And then we build a weighted graph model k-UCM graph to reveal the implicit relationship between authors hidden behind the citations among their articles. Furthermore, we design a graph-based ranking algorithm, the Credit Author Ranking (CAR) algorithm, which can be applied to rank nodes in a graph with negative edges. Finally, we perform experimental evaluations by simulations. The results of evaluations illustrate that the proposed method works pretty well on ranking the credibility of users in the LV system.

Place, publisher, year, edition, pages
2007. 1279-1280 p.
Keyword [en]
Author ranking, Education platform, HITS algorithm
National Category
Other Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-155567DOI: 10.1145/1242572.1242807Scopus ID: 2-s2.0-35348890219ISBN: 1595936548 (print)ISBN: 978-159593654-7 OAI: oai:DiVA.org:kth-155567DiVA: diva2:762512
Conference
16th International World Wide Web Conference, WWW2007, 8 May 2007 through 12 May 2007, Banff, AB, Canada
Note

QC 20141112

Available from: 2014-11-12 Created: 2014-11-07 Last updated: 2014-11-12Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf