Detection of early-stage research fronts—An example of complex networks research
ZHANG Lihua1,2; ZHANG Zhiqiang1; Zhiqiang Zhang (Email:zhangzq@lzb.ac.cn)
2014-12-25
Source PublicationChinese Journal of Library and Information Science
Volume7Issue:4Pages:77-94
Other Abstract
Purpose: This study aims to detect research fronts of a scientific field in its early development stage using bibliometric indicators developed based on the features of research fronts.

Design/methodology/approach: We first focused on conceptualization of “research fronts”and outlined 4 indicators to measure different aspects of the concept: Innovation, timeliness, stability and interdisciplinarity. Then research specialties obtained based on direct citation networks were evaluated with the 4 indicators and research fronts were identified. Finally, methodology was illustrated and verified in the research domain of complex networks.

Findings: The results indicate that the proposed method is useful in detecting research fronts in a specific field which is at an early development stage.

Research limitations: The quality of clustering results was not assessed. It needs to be further studied whether the method can be applicable to the fields that evolve slowly such as mathematics or are highly specialized like entomology and zoology.

Practical implications: This study helps researchers keep abreast of emerging trends and policy-makers formulate science and technology policies and strategic plans.

Originality/value: This research provides insights into a quantitative assessment method to detect research fronts of a scientific field in its early development stage.
;
Purpose: This study aims to detect research fronts of a scientific field in its early development stage using bibliometric indicators developed based on the features of research fronts.

Design/methodology/approach: We first focused on conceptualization of “research fronts" and outlined 4 indicators to measure different aspects of the concept: Innovation, timeliness, stability and interdisciplinarity. Then research specialties obtained based on direct citation networks were evaluated with the 4 indicators and research fronts were identified. Finally, methodology was illustrated and verified in the research domain of complex networks.

Findings: The results indicate that the proposed method is useful in detecting research fronts in a specific field which is at an early development stage.

Research limitations: The quality of clustering results was not assessed. It needs to be further studied whether the method can be applicable to the fields that evolve slowly such as mathematics or are highly specialized like entomology and zoology.

Practical implications: This study helps researchers keep abreast of emerging trends and policy-makers formulate science and technology policies and strategic plans.

Originality/value: This research provides insights into a quantitative assessment method to detect research fronts of a scientific field in its early development stage.
SubtypeResearch Paper
KeywordResearch Front Specialty Innovation Timeliness Stability Interdisciplinarity
Subject Area新闻学与传播学 ; 图书馆、情报与文献学
URL查看原文
Indexed By其他
Language英语
Document Type期刊论文
Identifierhttp://ir.las.ac.cn/handle/12502/7627
CollectionJournal of Data and Information Science_Chinese Journal of Library and Information Science-2014
Corresponding AuthorZhiqiang Zhang (Email:zhangzq@lzb.ac.cn)
Affiliation1.Lanzhou Library, Chinese Academy of Sciences, Lanzhou 730000, China
2.University of Chinese Academy of Sciences, Beijing 100049, China
First Author Affilication中国科学院文献情报中心
Recommended Citation
GB/T 7714
ZHANG Lihua,ZHANG Zhiqiang,Zhiqiang Zhang (Email:zhangzq@lzb.ac.cn). Detection of early-stage research fronts—An example of complex networks research[J]. Chinese Journal of Library and Information Science,2014,7(4):77-94.
APA ZHANG Lihua,ZHANG Zhiqiang,&Zhiqiang Zhang .(2014).Detection of early-stage research fronts—An example of complex networks research.Chinese Journal of Library and Information Science,7(4),77-94.
MLA ZHANG Lihua,et al."Detection of early-stage research fronts—An example of complex networks research".Chinese Journal of Library and Information Science 7.4(2014):77-94.
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