106 research outputs found
Tracing scientific influence
Scientometrics is the field of quantitative studies of scholarly activity. It
has been used for systematic studies of the fundamentals of scholarly practice
as well as for evaluation purposes. Although advocated from the very beginning
the use of scientometrics as an additional method for science history is still
under explored. In this paper we show how a scientometric analysis can be used
to shed light on the reception history of certain outstanding scholars. As a
case, we look into citation patterns of a specific paper by the American
sociologist Robert K. Merton.Comment: 25 pages LaTe
Contextualization of topics - browsing through terms, authors, journals and cluster allocations
This paper builds on an innovative Information Retrieval tool, Ariadne. The
tool has been developed as an interactive network visualization and browsing
tool for large-scale bibliographic databases. It basically allows to gain
insights into a topic by contextualizing a search query (Koopman et al., 2015).
In this paper, we apply the Ariadne tool to a far smaller dataset of 111,616
documents in astronomy and astrophysics. Labeled as the Berlin dataset, this
data have been used by several research teams to apply and later compare
different clustering algorithms. The quest for this team effort is how to
delineate topics. This paper contributes to this challenge in two different
ways. First, we produce one of the different cluster solution and second, we
use Ariadne (the method behind it, and the interface - called LittleAriadne) to
display cluster solutions of the different group members. By providing a tool
that allows the visual inspection of the similarity of article clusters
produced by different algorithms, we present a complementary approach to other
possible means of comparison. More particular, we discuss how we can - with
LittleAriadne - browse through the network of topical terms, authors, journals
and cluster solutions in the Berlin dataset and compare cluster solutions as
well as see their context.Comment: proceedings of the ISSI 2015 conference (accepted
Ariadne's Thread - Interactive Navigation in a World of Networked Information
This work-in-progress paper introduces an interface for the interactive
visual exploration of the context of queries using the ArticleFirst database, a
product of OCLC. We describe a workflow which allows the user to browse live
entities associated with 65 million articles. In the on-line interface, each
query leads to a specific network representation of the most prevailing
entities: topics (words), authors, journals and Dewey decimal classes linked to
the set of terms in the query. This network represents the context of a query.
Each of the network nodes is clickable: by clicking through, a user traverses a
large space of articles along dimensions of authors, journals, Dewey classes
and words simultaneously. We present different use cases of such an interface.
This paper provides a link between the quest for maps of science and on-going
debates in HCI about the use of interactive information visualisation to
empower users in their search.Comment: CHI'15 Extended Abstracts, April 18-23, 2015, Seoul, Republic of
Korea. ACM 978-1-4503-3146-3/15/0
Need to categorize: A comparative look at the categories of the Universal Decimal Classification system (UDC) and Wikipedia
This study analyzes the differences between the category structure of the
Universal Decimal Classification (UDC) system (which is one of the widely used
library classification systems in Europe) and Wikipedia. In particular, we
compare the emerging structure of category-links to the structure of classes in
the UDC. With this comparison we would like to scrutinize the question of how
do knowledge maps of the same domain differ when they are created socially
(i.e. Wikipedia) as opposed to when they are created formally (UDC) using
classificatio theory. As a case study, we focus on the category of "Arts".Comment: Paper for High Throughput Humanities - a satellite meeting at the
European Conference on Complex Systems 2010; Sept. 15, 2010 Lisbon University
Institute ISCTE, Lisbon, Portuga
Animating the development of Social Networks over time using a dynamic extension of multidimensional scaling
The animation of network visualizations poses technical and theoretical
challenges. Rather stable patterns are required before the mental map enables a
user to make inferences over time. In order to enhance stability, we developed
an extension of stress-minimization with developments over time. This dynamic
layouter is no longer based on linear interpolation between independent static
visualizations, but change over time is used as a parameter in the
optimization. Because of our focus on structural change versus stability the
attention is shifted from the relational graph to the latent eigenvectors of
matrices. The approach is illustrated with animations for the journal citation
environments of Social Networks, the (co-)author networks in the carrying
community of this journal, and the topical development using relations among
its title words. Our results are also compared with animations based on
PajekToSVGAnim and SoNIA
"Seed+Expand": A validated methodology for creating high quality publication oeuvres of individual researchers
The study of science at the individual micro-level frequently requires the
disambiguation of author names. The creation of author's publication oeuvres
involves matching the list of unique author names to names used in publication
databases. Despite recent progress in the development of unique author
identifiers, e.g., ORCID, VIVO, or DAI, author disambiguation remains a key
problem when it comes to large-scale bibliometric analysis using data from
multiple databases. This study introduces and validates a new methodology
called seed+expand for semi-automatic bibliographic data collection for a given
set of individual authors. Specifically, we identify the oeuvre of a set of
Dutch full professors during the period 1980-2011. In particular, we combine
author records from the National Research Information System (NARCIS) with
publication records from the Web of Science. Starting with an initial list of
8,378 names, we identify "seed publications" for each author using five
different approaches. Subsequently, we "expand" the set of publication in three
different approaches. The different approaches are compared and resulting
oeuvres are evaluated on precision and recall using a "gold standard" dataset
of authors for which verified publications in the period 2001-2010 are
available.Comment: Paper accepted for the ISSI 2013, small changes in the text due to
referee comments, one figure added (Fig 3
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