Access the full text.
Sign up today, get DeepDyve free for 14 days.
C. Faloutsos, M. Ranganathan, Y. Manolopoulos (1994)
Fast subsequence matching in time-series databases
Y. Jeong, Min Song, Ying Ding (2014)
Content-based author co-citation analysisJ. Informetrics, 8
K. McCain (2010)
The view from Garfield’s shoulders: Tri-citation mapping of Eugene Garfield’s citation image over three successive decadesAnnals of Library and Information Studies, 57
Library and Information Service, 56
O. Persson (2001)
All author citations versus first author citationsScientometrics, 50
M. Bastian, Sebastien Heymann, Mathieu Jacomy (2009)
Gephi: An Open Source Software for Exploring and Manipulating NetworksProceedings of the International AAAI Conference on Web and Social Media
Jie Tang, Jing Zhang, Limin Yao, Juan-Zi Li, Li Zhang, Zhong Su (2008)
ArnetMiner: extraction and mining of academic social networks
Jianguo Liu, Zhao-Guo Xuan, Yanzhong Dang, Q. Guo, Zhong-tuo Wang (2006)
Weighted network properties of Chinese nature science basic researchPhysica A-statistical Mechanics and Its Applications, 377
Liang-Chu Chen, Yen-Hsuan Lien (2011)
Using author co-citation analysis to examine the intellectual structure of e-learning: A MIS perspectiveScientometrics, 89
M. Newman (2006)
Modularity and community structure in networks.Proceedings of the National Academy of Sciences of the United States of America, 103 23
E. Clarke, D. Kroening, Flavio Lerda (2004)
A Tool for Checking ANSI-C Programs
Kuo-Chung Chu, Wen-I Liu, Ming-Yu Tsai (2012)
The study of co-citation analysis and knowledge structure on healthcare domain, 1499
H. Small (1973)
Co-citation in the scientific literature: A new measure of the relationship between two documentsJ. Am. Soc. Inf. Sci., 24
Yi Bu, Tianyi Liu, Win-bin Huang (2016)
MACA: a modified author co-citation analysis method combined with general descriptive metadata of citationsScientometrics, 108
M. Zohdy (2018)
Genetic algorithmsRobust Control Systems with Genetic Algorithms
Ying Ding, E. Yan, Arthur Frazho, James Caverlee (2009)
PageRank for ranking authors in co-citation networksArXiv, abs/1012.4872
Dangzhi Zhao (2006)
Towards all-author co-citation analysisInf. Process. Manag., 42
K. McCain (1990)
Mapping authors in intellectual space: A technical overviewJ. Am. Soc. Inf. Sci., 41
(1981)
Author cocitation: A literature measure of intellectual structureJ. Am. Soc. Inf. Sci., 32
M. Bianchini, M. Gori, F. Scarselli (2005)
Inside PageRankACM Trans. Internet Techn., 5
Journal of the American Society for Information Science, 41
K. McCain (2009)
Using tricitation to dissect the citation image: Conrad Hal Waddington and the rise of evolutionary developmental biologyJ. Assoc. Inf. Sci. Technol., 60
Sean Eom (2008)
All author cocitation analysis and first author cocitation analysis: A comparative empirical investigationJ. Informetrics, 2
D. Price (1965)
NETWORKS OF SCIENTIFIC PAPERS.Science, 149 3683
Yi Bu, Shaokang Ni, Win-bin Huang (2017)
Combining multiple scholarly relationships with author cocitation analysis: A preliminary exploration on improving knowledge domain mappingsJ. Informetrics, 11
Scientific and Technical Information Serial of VINITI, 6
PurposePrevious commonly used author co-citation analysis (ACA) methods have limited the ability to deal with accidental co-citation in constructing a raw co-citation matrix. Therefore, the purpose of this paper is to propose a new method, called author tri-citation analysis (ATA), to better map knowledge domains and depict scientific intellectual structures.Design/methodology/approachDifferent from the previous method of using ACA that captures author co-citation relationships, the ATA method seeks tri-citation relationships among authors. Compared with ACA, ATA can ignore some accidental co-citation relationships between authors and can improve the accuracy of mapping knowledge domains.FindingsAlthough ATA does not mine more sub-fields than ACA does, the results of the empirical studies show that ATA, the newly proposed method, performs better in knowledge domain maps based on publications in the field of computer science.Research limitations/implicationsThe definition of ATA in this article is simple and still insufficiently informative. Many other pieces of information can be involved; for example, all authors’ information, authors’ sequence in the author list, reference published time and similar. These can be enhanced in future studies.Practical implicationsThis research will enrich the methods of mapping knowledge domains due to its new perspective.Social implicationsKnowledge domain mapping is important to understand a discipline, and this research provides more potential methods for this, which benefits the performance of the maps.Originality/valueATA can provide a methodological awareness for mapping knowledge domains. This value lies in not only a tri-citation perspective, but also author bibliographic tripling and author tri-operation perspectives (“tri-” perspectives).
The Electronic Library – Emerald Publishing
Published: Nov 6, 2017
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.