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Title: A method of detecting emerging trends in research topics
Author: GE Fei ; TAN Zongying
Source: Chinese Journal of Library and Information Science
Issued Date: 2014-06-25
Volume: 7, Issue:2, Pages:65-81
Keyword: Emerging trend detection ; Keywords life-cycle ; Four quadrant diagram
Subject: 编辑出版
Corresponding Author: TAN Zongying (E-mail: tanzy@mail.las.ac.cn)
Abstract:
Purpose: This paper proposes a method of detecting emerging trends in research topics from a more micro perspective.

Design/methodology/approach: Through co-word clustering to identify research topics and analyzing position changes of topic words in the keywords life-cycle diagram during different time periods, we detected emerging trends in research topics from a more micro perspective. The method was applied to the field of nanotechnology to verify its effectiveness and practicability.

Findings: The results show that this method can be used to detect emerging trends in research topics from a more micro perspective, as it divides keywords into five categories: Potential keywords, emerging keywords, hot keywords, stable keywords and recession keywords, through which more details of topic changes can be found.

Research limitations: We used keywords provided by authors and database indexers for keywords extraction. But this approach may lead to the problem of "indexer effect". The method may have a limited effect when applied to a disciplinary domain such as mathematics, which evolves slowly.

Practical implications: This study provides information analysts with insights into the way to better understand specialty areas of a discipline domain and formulate research policies and strategic plans.

Originality/value: This study contributes to the current literature by proposing a new method, which can detect emerging trends in research topics from a more micro perspective.
English Abstract:
Purpose: This paper proposes a method of detecting emerging trends in research topics from a more micro perspective.

Design/methodology/approach: Through co-word clustering to identify research topics and analyzing position changes of topic words in the keywords life-cycle diagram during different time periods, we detected emerging trends in research topics from a more micro perspective. The method was applied to the field of nanotechnology to verify its effectiveness and practicability.

Findings: The results show that this method can be used to detect emerging trends in research topics from a more micro perspective, as it divides keywords into five categories: Potential keywords, emerging keywords, hot keywords, stable keywords and recession keywords, through which more details of topic changes can be found.

Research limitations: We used keywords provided by authors and database indexers for keywords extraction. But this approach may lead to the problem of "indexer effect". The method may have a limited effect when applied to a disciplinary domain such as mathematics, which evolves slowly.

Practical implications: This study provides information analysts with insights into the way to better understand specialty areas of a discipline domain and formulate research policies and strategic plans.

Originality/value: This study contributes to the current literature by proposing a new method, which can detect emerging trends in research topics from a more micro perspective.
Related URLs: 查看原文
Content Type: 期刊论文
URI: http://ir.las.ac.cn/handle/12502/7215
Appears in Collections:Chinese Journal of Library and Information Science-2014_期刊论文

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Recommended Citation:
GE Fei,TAN Zongying. A method of detecting emerging trends in research topics[J]. Chinese Journal of Library and Information Science,2014,7(2):65-81.
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