2021 VOLUME 1 ISSUE 2
RESEARCH ARTICLE
Potential influential topics in information science based on citation structural variation approach
AUTHOR
Jianhua Hou, Xuran Tian, Yang Zhang
ABSTRACT
This study aims to identify potential influential literature and potential influential topics in the field of information science (IS). Using citation structural variation approach, provided by CiteSpace, we discerned the potential influential theses in IS. Then, we proposed an analyzing framework based on"citation network-citation structural variation-citation cluster," which is used to discern the potential influential topics in IS. Using the structural variation approach, we analyzed the contents and features of potential influential theses. The potential influential topics, discerned by the "citation network-citation structural variation-citation cluster" framework, corroborated the existing knowledge base to some extent and seemed to be divergent and intermingled. Such potential impact literature and potential impact research topics are of certain reference value for future frontier research.
KEYWORDS
Structural Variation Model; Potential Influential Theses; Potential Influential Topics; CiteSpace