Open AccessCitation content analysis ( CCA ): A framework for syntactic and semantic analysis of citation content
Author(s) -
Zhang Guo,
Ding Ying,
Milojević Staša
Publication year - 2013
Publication title -
journal of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1532-2890
pISSN - 1532-2882
DOI - 10.1002/asi.22850
Subject(s) - citation , computer science , scope (computer science) , content analysis , citation analysis , information retrieval , context (archaeology) , semantic analysis (machine learning) , content (measure theory) , data science , world wide web , sociology , social science , mathematics , paleontology , mathematical analysis , biology , programming language
This study proposes a new framework for citation content analysis ( CCA ), for syntactic and semantic analysis of citation content that can be used to better analyze the rich sociocultural context of research behavior. This framework could be considered the next generation of citation analysis. The authors briefly review the history and features of content analysis in traditional social sciences and its previous application in library and information science (LIS). Based on critical discussion of the theoretical necessity of a new method as well as the limits of citation analysis, the nature and purposes of CCA are discussed, and potential procedures to conduct CCA , including principles to identify the reference scope, a two‐dimensional (citing and cited) and two‐module (syntactic and semantic) codebook, are provided and described. Future work and implications are also suggested.