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Link Analysis on Government Website Based-on Factor

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Web Information Systems and Mining (WISM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5854))

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Abstract

15 provincial government websites were chosen as a sample, and their link data were searched. To use Factor to analyze the data, and gave the evaluation results. Correlated analyzed the results with the government efficiency scores, finding the two were correlated. Also correlated analyzed the link indexes with the government efficiency scores and the most obviously correlated indexes were total link and external link. So the two link indexes are available for evaluation.

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References

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Author information

Authors and Affiliations

  1. Science and Technology Information Research Institute, Shandong University of Technology, Zibo, P.R. China

    Changling Li & Xinjin Fu

Authors
  1. Changling Li
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  2. Xinjin Fu
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Editor information

Editors and Affiliations

  1. Department of Computer Science, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong, China

    Wenyin Liu  & Fu Lee Wang  & 

  2. Key Laboratory of Grid Technology, Digital Content Analysis and Semantic Grid Group, Shanghai University, 200072, Shanghai, China

    Xiangfeng Luo

  3. College of Information Science and Technology, Hainan University, 570228, Haikou, China

    Jingsheng Lei

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© 2009 Springer-Verlag Berlin Heidelberg

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Li, C., Fu, X. (2009). Link Analysis on Government Website Based-on Factor. In: Liu, W., Luo, X., Wang, F.L., Lei, J. (eds) Web Information Systems and Mining. WISM 2009. Lecture Notes in Computer Science, vol 5854. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05250-7_12

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  • DOI: https://doi.org/10.1007/978-3-642-05250-7_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05249-1

  • Online ISBN: 978-3-642-05250-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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