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 posit...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.I'he 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.展开更多
基金supported by the Center of Advisory,Information Research,Academic Divisions of the Chinese Academy of Sciences
文摘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.I'he 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.
