Authors:Hsuan-I Liu, Bi-Chun Chang, and Kuan-Chia Chen
paper therefore focuses on the institutional collaborationpatterns in different research areas and its effect on research through paper citations. It also compares international and domestic collaboration in Taiwan. Finally, the study maps the location
Mijangos-Nolasco 2002 ). In an analysis of the collaborationpatterns of SADC countries between 1994 and 2008 Pouris ( 2010 ) concluded that for all SADC countries, the three most important collaboration countries were non-African (Pouris 2010 ). In the
explores innovation activities and collaborationpattern of UIG in China based on patents analysis. The data source selection and search will be discussed first. Then the analytical method will be presented. Theoretical mode of innovation which reflects the
engineering sciences. Bordons and Gomez ( 2000 ) studied the collaborationpattern across different disciplines in Spain and they found similar results as well. Similar studies using patent co-inventorship showed that the chemistry and biotechnology
The paper points out that the characteristic properties of general social networks are reflected in co-authorship patterns
of theoretical population genetics as studied from 1900 to 1980. The results are consistent with the analyses of bibliographies
where the co-authorship networks in invisible colleges probably have shown the same behavioural patterns as the non-scientific
populations. The patterns of behaviour are portrayed in two-dimensional as well as three-dimensional representations of co-authorship
data in theoretical population genetics.
Authors:Hildrun Kretschmer, Ramesh Kundra, Donald deB. Beaver, and Theo Kretschmer
sections: ‐ Bibliometric indicators of gender co-operation ‐ Author order in the by-line and concentration measures ‐ Three-dimensional collaborationpatterns of the journals “PNAS”, “Psychology of Women Quarterly” and of the mixed bibliography of 14
International collaboration is becoming an increasingly significant issue in science. During the last few years, a large number
of bibliometric studies of co-authorships have been reported. Mostly, these studies have concentrated on country-to-country
collaboration, revealing general patterns of interaction. In this study we analyze international collaborative patterns as
indicated in the Indian publications by tracking out multi author publications as given in Science Citation Index (SCI) database.
Correspondence analysis is used for analysis and interpretation of the results.
According to correspondence analysis of the data set, Physics, Chemistry, Clinical medicine are the first, second and third
largest subjects having international collaboration. USA, Italy, Germany, France, England are the top five countries with
which India is collaborating. The data set shows an association between Physics and Italy, Switzerland, Algeria, Finland,
South Korea, Russia, Netherlands contrasting an association between Biology & Biochemistry, Immunology, Ecology & Environment,
Geosciences, Multidisciplinary subjects and England, Japan, Canada. It also shows an association between Agriculture and Philippines,
Canada, Denmark in contrast to an association between Chemistry and Malaysia, Germany, France. An association between Clinical
medicine, Astrophysics and England, Sweden, USA, New Zealand in contrast to an association between Agriculture and Canada,
Philippines, Denmark is shown. An association between Engineering, Mathematics, Computer Science, Neuroscience and Singapore,
Canada, USA in contrast to an association between Chemistry, Astrophysics and Malaysia, Spain is shown. This association of
collaborating countries and disciplines almost tallies with the publication productivity of these countries in different disciplines.
regression test and T -test were used to analyze the data statistically.
Distribution of publications and citations in different collaborationpatterns
To show the noticeable upward trend of
Collaboration in science has become a prevailing trend and it will be worthwhile to study the patterns of co-authorships in
scientific research. In this study a three-dimensional behavioural pattern of Indian medicinal co-authorship network is presented.
The high evenness of this pattern has caused us to carry out a non-linear regression analysis. The pattern of Indian Medicinal
coauthorships can be described by the same non-linear mathematical function that describes the behavioural patterns of international
medicine co-authorship networks and networks of other scientific disciplines. The following question has arise: Is there a
general validity of this function in co-authorship networks?