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Research on potential influential scholars in the field of information science and their cooperative characteristics
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作者 Jianhua Hou Xiucai Yang +1 位作者 Haiyue Yao Yang Zhang 《Data Science and Informetrics》 2023年第1期1-12,共12页
With the continuous development of social media,the ways and means of academic influence evaluation of scholars are increasing rapidly.The emergence of the Citation Network Structural Variation model method breaks the... With the continuous development of social media,the ways and means of academic influence evaluation of scholars are increasing rapidly.The emergence of the Citation Network Structural Variation model method breaks the traditional way of identifying the influence of scholars through scientometrics index,author cooperation or node indicators in author citation network structure.Based on this method,CiteSpace software tool is used to detect scholars with potential influence in the field of Information Science and reveal the cooperative characteristics of scholars with potential influence.The study found that the most potentially influential five-pointed star scholars in the field of Information Science mainly include Leydesdorff L,Bornmann L,Thelwall M,Bar-llan J,Waltman L,Huang MH,Rousseau R and others.Pentagram scholars are usually located at the core of different cooperative groups in the author's cooperative network.Other influential non-pentagram scholars and pentagram scholars maintain a high frequency of cooperation and have a high similarity in research direction. 展开更多
关键词 Scholars'potential influence Citation Network Structural Variation model Author collaboration CiteSpace
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Potential influential topics in information science based on citation structural variation approach
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作者 Jianhua Hou Xuran Tian Yang Zhang 《Data Science and Informetrics》 2021年第2期34-46,共13页
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... 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. 展开更多
关键词 Structural Variation model Potential Influential Theses Potential Influential Topics CITESPACE
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