above we addressed the trend in sciencemapping that utilizes ISI Subject Category maps (SC maps or “basemaps”) for an in-depth, structural characterization of research profiles. To elaborate on measures previously introduced to grasp the degree of
Authors:Donika Maloku, Péter Balogh, Attila Bai, Zoltán Gabnai, and Péter Lengyel
. Pallottino et al. (2018) analyzed the publication trends during the period from 2010 to 2016, presenting the Italian, EU and the world publication trends, using the sciencemapping approach [ 5 ]. Thus, we plan to examine the publication of scientific
In this paper we present the explorations of combining the two main pillars of evaluative bibliometrics. These two pillars,
performance analysis and science mapping, both have their strengths and imperfections. In this study we show how these imperfections
are dealt with by an integrated analysis.
The “Atlas of Science” by Katy Börner is a truly impressive work. The title of the book is somewhat misleading: as being both a comprehensive overview on the history and developments of sciencemapping (SM), and a unique collection of science
Science mapping projects have been revived by the advent of virtual reality software capable of navigating large synthetic
three dimensional spaces. Unlike the earlier mapping efforts aimed at creating simple maps at either a global or local level,
the focus is now on creating large scale maps displaying many thousands of documents which can be input into the new VR systems.
This paper presents a general framework for creating large scale document spaces as well as some new methods which perform
some of the individual processing steps. The methods are designed primarily for citation data but could be applied to other
types of data, including hypertext links.
to further elaborate a measure proposed for the qualitative assessment of research profiles. We addressed the so-called Stirling index (hereafter: Index) in the context of science overlay maps, as introduced recently in the sciencemapping community
This paper deals with two document-document similarity approaches in the context of science mapping: bibliographic coupling
and a text approach based on the number of common abstract stems. We used 43 articles, published in the journal Information Retrieval, as test articles. An information retrieval expert performed a classification of these articles. We used the cosine measure
for normalization, and the complete linkage method was used for clustering the articles. A number of articles pairs were ranked
(1) according to descending normalized coupling strength, and (2) according to descending normalized frequency of common abstract
stems. The degree of agreement between the two obtained rankings was low, as measured by Kendall’s tau. The agreement between
the two cluster solutions, one for each approach, was fairly low, according to the adjusted Rand index. However, there were
examples of perfect agreement between the coupling solution and the stems solution. The classification generated by the expert
contained larger groups compared to the coupling and stems solutions, and the agreement between the two solutions and the
classification was not high. According to the adjusted Rand index, though, the stems solution was a better approximation of
the classification than the coupling solution. With respect to cluster quality, the overall Silhouette value was slightly
higher for the stems solution. Examples of homogeneous cluster structures, as well as negative Silhouette values, were found
with regard to both solutions. The expert classification indicates that the field of information retrieval, as represented
by one volume of articles published in Information Retrieval, is fairly heterogeneous regarding research themes, since the classification is associated with 15 themes. The complete linkage
method, in combination with the upper tail rule, gave rise to a fairly good approximation of the classification with respect
to the number of identified groups, especially in case of the stems approach.
This paper examines the rapid growth of China in the field of nanotechnology and the rise of collaboration between China and the US in this emerging domain. Chinese scientific papers in nanotechnology are analyzed to indicate overall trends, leading fields and the most prolific institutions. Patterns of China–US nanotechnology paper co-authorship are examined over the period 1990–2009, with an analysis of how these patterns have changed over time. The paper combines bibliometric analysis and science mapping. We find rapid development in the number of China–US co-authored nanotechnology papers as well as structural changes in array of collaborative nanotechnology sub-fields. Implications for both China and the US of this evolving relationship are discussed.
A rémálmok élénk, negatív érzelmekkel terhelt álomélmények, amelyeket a felnőtt lakosság mintegy 4%-a tapasztal meg legalább heti rendszerességgel. A gyakori rémálmok számos mentális zavarral társulhatnak, ugyanakkor az elmúlt évek eredményei arra utalnak, hogy a rémálom zavar az ébrenléti mentális tünetektől független jelenség. A rémálom zavar szoros összefüggésben áll a szubjektív alvásminőség romlásával, a poliszomnográfiás vizsgálatok tanúsága szerint pedig a rémálom zavarban szenvedő személyek alvásmintázata az alvás töredezettségére és az alvás alatti éberségi reakciók fokozódására utaló eltéréseket mutat. Mindez arra utal, hogy a rémálom zavar a pszichopatológiai perspektíva helyett inkább egy speciális alvászavarként kezelendő, amely célzott terápiás beavatkozást igényel. Ugyanakkor a megfelelő kezelés kiválasztásához a rémálmok és az ébrenléti diszfunkciók közti kapcsolatot közvetítő álomszorongás mértékének figyelembevétele mellett természetesen elengedhetetlen a kórképhez társuló mentális zavarok feltérképezése. Orv. Hetil., 2013, 154, 497–502.
Authors:David Chavalarias and Jean-Philippe Cointet
We propose new methods to detect paradigmatic fields through simple statistics over a scientific content database. We propose
an asymmetric paradigmatic proximity metric between terms which provide insight into hierarchical structure of scientific activity and test our methods on a case study
with a database made of several millions of resources. We also propose overlapping categorization to describe paradigmatic
fields as sets of terms that may have several different usages. Terms can also be dynamically clustered providing a high-level
description of the evolution of the paradigmatic fields.