The co-citation and social network study provides CPC field professionals a perspective that heretofore has not been afforded. As such, those can be one of several tools used to help individuals access and visualize scholarly communication within the field. Those helps identify the most productive and prominent document in the field, the documents that are cited, the amount they are co-cited with other informatics documents, and the documents that appear in similar subject areas.
This paper introduced documents co-citation analysis without relying on commercial citation databases, based on custom bibliographic database and co-citation matrix generation systems specifically developed to use the custom database. This study also demonstrates the matrix and their potential problems in factor analysis.
The study combines a content-similarity analysis, a factor analysis, document co-citation analysis, social network analysis, and structural visualization together on the field of hypertext as a whole. The factor analysis extracted 8 factors, which may be the roots of many new specialties to be identified in future work. By combining co-citation analysis and social network analysis, the clearly factors result has been identify.
The most clarified factors are factor two, four, five and seven standing for Organizational Model design, Coordination mechanism, Organization Knowledge, Management Knowledge, System, Solve CPC problems, Design for e-commerce. For factor one, three, six and eight standing for Supply Chain partners, CPFR, Web Collaborative design Model, c-commerce combines e-commerce and CAD System not very clarified for CPC future research.
into the theory’s evolution and clarifies future research work with in CPC.
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