practical question arises of when can we speak about a new emergingtopic . New ideas underlying the research, a rapidly growing number of publications and scientists dealing with this topic is a necessary, however not yet sufficient condition. This new
Authors:Ryosuke Ohniwa, Aiko Hibino, and Kunio Takeyasu
We report here a simple method to identify the ‘emerging topics’ in life sciences. First, the keywords selected from MeSH
terms on PubMed by filtering the terms based on their increment rate of the appearance, and, then, were sorted into groups
dealing with the same topics by ‘co-word’ analysis. These topics were defined as ‘emerging topics’. The survey of the emerging
keywords with high increment rates of appearance between 1972 to 2006 showed that emerging topics changed dramatically year
by year, and that the major shift of the topics occurred in the late 90s; the topics that cover technical and conceptual aspects
in molecular biology to the more systematic ‘-omics’-related and nanoscience-related aspects. We further investigated trends
in emerging topics within various sub-fields in the life sciences.
Authors:Ivana Roche, Dominique Besagni, Claire François, Marianne Hörlesberger, and Edgar Schiebel
Following up the European project PromTech the aim of which was to detect emerging technologies by studying the scientific
literature, we chose one field, Molecular Biology, to identify and characterize emerging topics within that domain. We combined
two analytical approaches: the first one introduces a model of the terminological evolution of the field based on bibliometric
indicators and the second one operates a diachronic clustering analysis. Our objective is to bring answers to questions such
as: Which technological aspects can be detected? Which of them are already established and which of them are new? How are
the topics linked to each other?
Nanoscience and technology (NST) is a relatively new interdisciplinary scientific domain, and scholars from a broad range of different disciplines are contributing to it. However, there is an ambiguity in its structure and in the extent of multidisciplinary scientific collaboration of NST. This paper investigates the multidisciplinary patterns of Iranian research in NST based on a selection of 1,120 ISI—indexed articles published during 1974–2007. Using text mining techniques, 96 terms were identified as the main terms of the Iranian publications in NST. Then the scientific structure of the Iranian NST was mapped through multidimensional scaling, based upon the co-occurrence of the main terms in the academic publications. The results showed that the NST domain in Iranian publications has a multidisciplinary structure which is composed of different fields, such as pure physics, analytical chemistry, chemistry physics, material science and engineering, polymer science, biochemistry and new emerging topics.
Authors:Edgar Schiebel, Marianne Hörlesberger, Ivana Roche, Claire François, and Dominique Besagni
Scientific progress in technology oriented research fields is made by incremental or fundamental inventions concerning natural
science effects, materials, methods, tools and applications. Therefore our approach focuses on research activities of such
technological elements on the basis of keywords in published articles. In this paper we show how emerging topics in the field
of optoelectronic devices based on scientific literature data from the PASCAL-database can be identified. We use Results from
PROMTECH project, whose principal objective was to produce a methodology allowing the identification of promising emerging
technologies. In this project, the study of the intersection of Applied Sciences as well as Life (Biological & Medical) Sciences
domains and Physics with bibliometric methods produced 45 candidate technological fields and the validation by expert panels
led to a final selection of 10 most promising ones. These 45 technologies were used as reference fields. In order to detect
the emerging research, we combine two methodological approaches. The first one introduces a new modelling of field terminology
evolution based on bibliometric indicators: the diffusion model and the second one is a diachronic cluster analysis. With
the diffusion model we identified single keywords that represent a high dynamic of the mentioned technology elements. The
cluster analysis was used to recombine articles, where the identified keywords were used to technological topics in the field
of optoelectronic devices. This methodology allows us to answer the following questions: Which technological aspects within
our considered field can be detected? Which of them are already established and which of them are new? How are the topics
linked to each other?
neighbours with a degree of at least k .
Unfortunately, in small networks such as new, emergingtopics the number of documents with appropriate individuals h - indexes will be rather small. Its application to the determination of core documents
Authors:Sungchul Choi, Janghyeok Yoon, Kwangsoo Kim, Jae Yeol Lee, and Cheol-Han Kim
remarks and future work ” section.
Technology analysis using co-word analysis
Recent co-word analysis studies identify “new concepts” and “emergingtopics.” Lee ( 2008 ) employed co-word analysis
Authors:Leonidas Akritidis, Dimitrios Katsaros, and Panayiotis Bozanis
advantage for the science itself.
In this paper we attempt to formally set and solve this interesting problem. Although there are exist several previous works which investigate the issue of identifying emergingtopics of research, the problem of