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Journal cover: Online Information Review

Online Information Review

ISSN: 1468-4527

Online from: 1977

Subject Area: Library and Information Studies

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Examining the robustness of web co-link analysis


Document Information:
Title:Examining the robustness of web co-link analysis
Author(s):Liwen Vaughan, (Faculty of Information and Media Studies, University of Western Ontario, London, Canada), Juan Tang, (Institute of Scientific and Technical Information of Shanghai, Shanghai, China), Jian Du, (Institute of Scientific and Technical Information of Shanghai, Shanghai, China)
Citation:Liwen Vaughan, Juan Tang, Jian Du, (2009) "Examining the robustness of web co-link analysis", Online Information Review, Vol. 33 Iss: 5, pp.956 - 972
Keywords:China, Intelligence, Worldwide web
Article type:Research paper
DOI:10.1108/14684520911001936 (Permanent URL)
Publisher:Emerald Group Publishing Limited
Acknowledgements:This study was part of a larger project funded by the Initiative on the New Economy (INE) Research Grants programme of the Social Sciences and Humanities Research Council of Canada (SSHRC). Research assistants Karl Fast and Gloria Liu helped with data collection. Senior chemical engineer Lei Xu of the Science and Technology Information Institute of Shanghai Chemical Industry helped with the interpretation of the results of the chemical industry.
Abstract:

Purpose – The purpose of this paper is to examine the robustness of web co-link analysis for business intelligence.

Design/methodology/approach – The method is tested in two different Chinese industries, the electronics/IT industry and the chemical industry. Web co-link data are collected in two different time periods from a different search engine in each period. Multidimensional scaling (MDS) is used to map the co-link data into business competition positions.

Findings – Web co-link analysis is fairly robust in that the mapping results reflect fairly well the business competition landscape for both industries and in both time periods. The mapping results are better when the data collection is restricted to Chinese language webpages only. The study also finds that the Chinese webpages are very consumer-oriented, a phenomenon that is not seen in previous studies of international companies.

Originality/value – This paper contributes to the understanding of the robustness and applicability of the co-link analysis method. The method is useful for business intelligence and can also be applied to the non-business environment. The paper also contributes to the understanding of a specific Chinese web phenomenon.



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