1,720,970 research outputs found
The methodological status of co-authorship networks
No full textA powerful strategy within the study of collaboration
in science is to posit that co-authorship patterns
represent social networks.
It is prerequisite to an application of Social
Network Analysis (SNA) to define the network
entities. A network analysis of the inter-institutional
collaboration in COLLNET on the basis
of co-authorships was conducted. The study reveals
that it is crucial whether the co-authorship
itself is seen as an author's relational property or
as a social event that brings the authors together.
The former possibility is represented by a onemode
network in which each author can be related
to each other author. Quite distinct from
that are two-mode networks, the latter approach.
They consist of two single data sets in which relations
are only possible between different sets.
Different modes of representations require
different network approaches. One is that co-authorship
networks are seen as one-mode networks,
which has the advantage of the application
of a variety of measures. In contrast, twomode
networks, the other option, cannot be analysed
by standard techniques but its distinctive
features demand a new conceptualisation of
measures. In conclusion, the two-mode perspective
is more promising because it allows a dual
perspective on collaboration in science which includes
researchers as well as their scientific output
Well-ordered Collaboration Structures of Co-Author Pairs in Journals
Full text linkIn single-authored bibliographies only single scientist distribution can be found. But in multi-authored bibliographies single scientists distribution, pairs distribution, triples distribution, etc., can be presented. Whereas regarding Lotka´s law single scientists P distribution (both in single-authored and in multi-authored bibliographies) is of interest, in the future pairs P, Q distribution, triples P, Q, R distribution, etc. should be considered. Starting with pair distribution, the following question arises in the present paper: Is there also any regularity or well-ordered structure for the distribution of coauthor pairs in journals in analogy to Lotka’s law for the distribution of single authors? Usually, in information science “laws” or “regularities” (for example Lotka’s law) are mathematical descriptions of observed data in form of functions; however explanations of these phenomena are mostly missing. By contrast, in this paper the derivation of a formula for describing the distribution of the number of co-author pairs will be presented based on wellknown regularities in socio-psychology or sociology in conjunction with the Gestalt theory as explanation for well-ordered collaboration structures and production of scientific literature, as well as derivations from Lotka’s law. The assumed regularities for the distribution of co-author pairs in journals could be shown in the co-authorship data (1980-1998) of the journals Science, Nature, Proc Nat Acad Sci USA and Phys Rev B Condensed Matter
The Structure of Scientific Collaboration Networks in Scientometrics
Full text linkThe structure of scientific collaboration networks in scientometrics was investigated at the level of individuals by using bibliographic data of all papers published in the international journal Scientometrics retrieved from the Science Citation Index (SCI) during 1978 to 2004. Combined analysis of social network analysis (SNA), co-occurrence analysis, cluster analysis and frequency analysis of words was explored to reveal: (1) The microstructure of the collaboration network on scientists’ aspects of scientometrics; (2) The major collaborative fields of the collaborative sub-networks; (3) The collaborative center of the collaboration network in scientometrics
Mapping climate change research in India : a bibliometric approach
Full text linkThis paper aims to map the climate change research output from India in five-year period 2005-2009. It examines the key factors including number of works published on the topic climate change science and the journals publishing this research work and their position in rankings. Climate change research in India is mapped based on papers abstracted in ISI Science Citation Index. There were 25,081 publications all over the world; of which Indian subcontinent has published 391 papers in all, and these were published in more than 101scholarly journals. The scope of the paper is limited to studying the growth and dynamics of Indian research output in climate change research of a five year period
The role of tradition in cooperation
Full text linkThe main objective of current work is to analyse to what extent the collaboration habits of researchers overlap with the requirements set in EU Framework Programme 6 (FP6), and how the choice of partners is balanced between coordinating countries
Social stratification of authors revealed from the coauthorship network
No full textSeven bibliographies frm the fields of medicine, physics and social sciences were used. The authors were classified by groups i n accordance with the number of publications per author. Studies were made t o detenine the statistically expected number of coauthorships by proceeding fran assuming an independence of coauthorship between authors from the number of their publications.
Hypothesis : The proportion of the sum of coauthorship found between authors with the same number of publications t o the sun of the statistically expected one i s larger than the proportion of the sum of coauthorships found between authors with a different number of
publications t o the sum of the statistically expected one. This hypothesis could be verified i n all seven bibliographies.
Coauthorships between authors do not come i n t o being independently of the nunber of their publications, i .e. o f their social ranks
Author inflation leads to a breakdown of Lotka's law
No full textIt is empirically shown that, even using the normal or total counting procedure, Lotka's law breaks down when articles with a large, i.e., more than hundred, number of authors are included in the bibliography, The explanation of this phenomenon is that the conditions for an application of the basic success-breeds-success model are not fulfilled any more. Studying articles with many authors means dealing with items (the articles) having multiple sources (the authors), hence Egghe's generalized success-breeds-success model, leading to not necessarily decreasing distributions, explains the observed irregularities
A webometric analysis of Australian Universities using staff and size dependent web impact factors (WIF)
Full text linkThis study describes how search engines (SE) can be employed for automated, efficient data gathering for Webometric studies using predictable URLs. It then compares the usage of staffrelated Web Impact Factors (WIFs) to sizerelated impact factors for a ranking of Australian universities, showing that rankings based on staffrelated WIFs correlate much better with an established ranking from the Melbourne Institute than commonly used sizedependent WIFs. In fact sizedependent WIFs do not correlate with the Melbourne ranking at all. It also compares WIF data for Australian Universities provided by Smith (1999) for a longitudinal comparison of the WIF of Australian Universities over the last decade. It shows that sizedependent WIF values declined for most Australian universities over the last ten years, while staffdependent WIFs rose
Social stratification of authors revealed from the coauthorship network
No full textSeven bibliographies frm the fields of medicine, physics and social sciences were used. The authors were classified by groups i n accordance with the number of publications per author. Studies were made t o detenine the statistically expected number of coauthorships by proceeding fran assuming an independence of coauthorship between authors from the number of their publications.
Hypothesis : The proportion of the sum of coauthorship found between authors with the same number of publications t o the sun of the statistically expected one i s larger than the proportion of the sum of coauthorships found between authors with a different number of
publications t o the sum of the statistically expected one. This hypothesis could be verified i n all seven bibliographies.
Coauthorships between authors do not come i n t o being independently of the nunber of their publications, i .e. o f their social ranks
Measuring Diversity of Research by Extracting Latent Themes from Bipartite Networks of Papers and References
Full text linkInspired by the hypothesis that the diversity of research might decline as a result of new science policy measures we explore the potential of bibliometric measures for analysing the diversity of research at meso- and macro-levels of (national sub-) fields, countries, and organisations. Our aim is to render changes in the diversity of research landscapes measurable and therefore comparable in time series as well as between different countries. We discuss different methodological approaches and some results based on a
method that extracts latent themes from bipartite networks of research papers and their cited references by singular value decomposition of the citation matrix
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