Citation Content Analysis (CCA): A Framework for Syntactic and Semantic Analysis of Citation Content

被引:118
作者
Zhang, Guo [1 ]
Ding, Ying [1 ]
Milojevic, Stasa [1 ]
机构
[1] Indiana Univ, Sch Lib & Informat Sci, Bloomington, IN 47405 USA
来源
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY | 2013年 / 64卷 / 07期
基金
美国国家科学基金会;
关键词
citation analysis; content analysis; scholarly communication; INFORMATION-SCIENCE; WORD ANALYSIS; CLASSIFICATION; COCITATION; PATTERNS; JOURNALS; ARTICLES; INDEXES;
D O I
10.1002/asi.22850
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:1490 / 1503
页数:14
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