Measuring credibility of users in an e-learning environment
Refereed conference paper presented and published in conference proceedings

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AbstractLearning 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.
All Author(s) ListWei W., Lee J., King I.
Name of Conference16th International World Wide Web Conference, WWW2007
Start Date of Conference08/05/2007
End Date of Conference12/05/2007
Place of ConferenceBanff, AB
Country/Region of ConferenceCanada
Pages1279 - 1280
LanguagesEnglish-United Kingdom
KeywordsAuthor ranking, Education platform, HITS algorithm

Last updated on 2020-21-09 at 02:15