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An exploratory study on substantive co-link analysis: A modification to total co-link analysis.

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Title: An exploratory study on substantive co-link analysis: A modification to total co-link analysis.
Authors: Junping Qiu1, Yejun Li1, Jiang Li1, Quane Ren1
Source: Scientometrics. Aug2008, Vol. 76 Issue 2, p327-341. 15p.
Subjects: Data mining, Blogs, Hyperlinks, Digital resources in library science, Information science -- Computer network resources
Abstract: Since the term “co-link” was put forward, many scholars have done exploratory investigations to prove the applicability and validity of co-link analysis used in mapping internet structure and mining relationships among internet colonies. All of these studies are based on the whole links in the web called “total co-link analysis”. However, there are both substantive and non-substantive links in the web, and the number of the latter outweights that of the former, which makes the preconditions of total co-link analysis untenable. In this paper, we present “substantive co-link analysis”, and believe it is more sound and valid than “total co-link analysis”. Then exploratory investigations on both total and substantive co-link analysis are carried out with the sample of 20 academic blogs on Library and Information Science, the results of which testify our assumption that “substantive co-link analysis” is more efficient and reasonable than “total co-link analysis”. [ABSTRACT FROM AUTHOR]
Copyright of Scientometrics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Since the term “co-link” was put forward, many scholars have done exploratory investigations to prove the applicability and validity of co-link analysis used in mapping internet structure and mining relationships among internet colonies. All of these studies are based on the whole links in the web called “total co-link analysis”. However, there are both substantive and non-substantive links in the web, and the number of the latter outweights that of the former, which makes the preconditions of total co-link analysis untenable. In this paper, we present “substantive co-link analysis”, and believe it is more sound and valid than “total co-link analysis”. Then exploratory investigations on both total and substantive co-link analysis are carried out with the sample of 20 academic blogs on Library and Information Science, the results of which testify our assumption that “substantive co-link analysis” is more efficient and reasonable than “total co-link analysis”. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Scientometrics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – SubjectFull: Hyperlinks
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      – SubjectFull: Information science -- Computer network resources
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