Applying author co-citation analysis to user interaction analysis: a case study on instant messaging groups

Author co-citation analysis (ACA) was an important method for discovering the intellectual structure of a given scientific field. There was sufficient experience that ACA would work with almost any user data that lent itself to co-occurrence. While most of the current researches still relied on the...

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Bibliographic Details
Published in:Scientometrics 2014-11, Vol.101 (2), p.985-997
Main Authors: Zhao, Rongying, Chen, Bikun
Format: Article
Language:English
Subjects:
Bibliometrics. Scientometrics
Bibliometrics. Scientometrics. Evaluation
Case studies
Cocitation
Computer Science
Exact sciences and technology
Information and communication sciences
Information science. Documentation
Information Storage and Retrieval
Instant messaging
Library and information science. General aspects
Library Science
Sciences and techniques of general use
Social networks
Webometrics
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Summary:Author co-citation analysis (ACA) was an important method for discovering the intellectual structure of a given scientific field. There was sufficient experience that ACA would work with almost any user data that lent itself to co-occurrence. While most of the current researches still relied on the data of scientific literatures. In this study, in order to provide useful information for better enterprise management, the idea and method of ACA was applied to analyze the information interaction intensity and contents of enterprise web users. Firstly, the development of ACA was briefly introduced. Then the sample data and method used in this study were given. Three QQ groups’ instant messages of a Chinese company were selected as the raw data and the concepts and model of user interaction intensity (UII) were proposed by referring the ACA theory. Social network analysis method, combined with in-deep interview method were used to analyze the information interaction intensity and contents of enterprise users. Operatively, Excel, Ucinet, Pajek, Netdraw and VOSviewer software were combined to analyze them quantitatively and visually. Finally, it concluded that UII model was relatively reasonable and it could nicely measure the information interaction intensity and contents of enterprise web users.
ISSN:0138-9130
1588-2861
DOI:10.1007/s11192-014-1314-7