The aim of this article is to observe differences between research areas when it comes to establish collaboration ties with local, national or international partners. It also intends to determine in what extent the collaboration can influence the patent transfer. A collaboration network between CSIC researchers and their external collaborators was built. Several statistical tests were used to find significant differences between research areas. A multiple regression model was also utilized in order to know what type of collaboration is more successful to transfer a patent. The results show that there are two well defined groups. A “Bio” group with a high international collaboration pattern but less national participation; and a “Physicist” group supported by a high proportion of national partners but with few international connections. The regression analysis found that the national collaboration is the variable that most increase the patent transfer.
The objective of this work is to describe the distribution of different types of participating organizations in the health
thematic area of the 6th Framework Programme. A total of 2132 different organizations were classified according to four types
and then grouped by country. A Principal Component Analysis (PCA) was carried out on the percentage of funding obtained by
each type of organization. Results show a countries map plotted around the “private” and “public” principal components. It
is observed that there are countries which research is basically performed by government research centres, while others are
supported in the university activity. We conclude that the PCA is a suitable method to plot the distribution of research organizations
by country and the results could be used as a tool for theoretical studies about the scientific activity in a country.
This paper aims to explore the role of each country in the health thematic area of the 6th Framework Programme (6FP) of the
EU. We try to explain how the collaborative research processes are generated in a research programme using social network
analysis (SNA) tools. We have modelled a one-mode network set up by 2,132 organizations which participate in 601 research
projects. This network was shrunk at the country level, obtaining a network of 31 countries. Results show that there is a
strong relationship between R&D indicators and the structural position of each country in the network. The paper concludes
that the SNA techniques are a suitable tool to assess the country performance in the EU research programmes.
This paper aims to analyse the collaboration network of the 6th Framework Programme of the EU, specifically the “Life sciences,
genomics and biotechnology for health” thematic area. A collaboration network of 2,132 participant organizations was built
and several variables were added to improve the visualization such as type of organization and nationality. Several statistical
tests and structural indicators were used to uncover the main characteristic of this collaboration network. Results show that
the network is constituted by a dense core of government research organizations and universities which act as large hubs that
attract new partners to the network, mainly companies and non-profit organizations.
Authors:José Ortega, Viv Cothey, and Isidro Aguillo
The aim of this paper is to model and study the age of the Web using a sample of about four million of web pages from the
16 European Research Area countries obtained during 2004 and 2005. Web page time-stamp (date when the web pages were created
or last changed for last time), format and size in bytes data have been analysed. Several indicators are introduced to measure
longitudinal aspects of the Web. Half-age is proposed as a measure of the age distribution because this is found to be exponential.
“Web Update Index” and “Lifespan Index” are introduced to measure the changing rate of a small sample over time. Results show
that the British Web space has the youngest Web pages while the Greek and Belgian ones have the oldest. The study also compared
Web pages topics and found that Biology pages are more stable than Physics pages.
Authors:Jose Ortega, Isidro Aguillo, Viv Cothey, and Andrea Scharnhorst
This paper shows maps of the web presence of the European Higher Education Area (EHEA) on the level of universities using
hyperlinks and analyses the topology of the European academic network. Its purpose is to combine methods from Social Network
Analysis (SNA) and cybermetric techniques in order to ask for tendencies of integration of the European universities visible
in their web presence and the role of different universities in the process of the emergence of an European Research Area.
We find as a main result that the European network is set up by the aggregation of well-defined national networks, whereby
the German and British networks are dominant. The national networks are connected to each other through outstanding national
universities in each country.
Authors:Isidro Aguillo, José Ortega, Mario Fernández, and Ana Utrilla
The Ranking Web of World Repositories (http://repositories.webometrics.info) is introduced. The objective is to promote Open access initiatives (OAI) supporting the use of repositories for scientific
evaluation purposes. A set of metrics based on web presence, impact and usage is discussed. The Ranking is built on indicators
obtained from web search engines following a model close to the Impact Factor one. The activity accounts for a 50% of the
index, including number of pages, pdf files and items in Google Scholar database, while the visibility takes into account
the external inlinks received by the repository (the other 50%). The Ranking provides the Top 300 repositories from a total
of 592 worldwide, with a strong presence of US, German and British institutional repositories and the leadership of the large
subject repositories. Results suggest the need to take into consideration other file formats and the usage information, an
option is not feasible today.
Authors:Isidro Aguillo, Judit Bar-Ilan, Mark Levene, and José Ortega
Recently there is increasing interest in university rankings. Annual rankings of world universities are published by QS for
the Times Higher Education Supplement, the Shanghai Jiao Tong University, the Higher Education and Accreditation Council of
Taiwan and rankings based on Web visibility by the Cybermetrics Lab at CSIC. In this paper we compare the rankings using a
set of similarity measures. For the rankings that are being published for a number of years we also examine longitudinal patterns.
The rankings limited to European universities are compared to the ranking of the Centre for Science and Technology Studies
at Leiden University. The findings show that there are reasonable similarities between the rankings, even though each applies
a different methodology. The biggest differences are between the rankings provided by the QS-Times Higher Education Supplement
and the Ranking Web of the CSIC Cybermetrics Lab. The highest similarities were observed between the Taiwanese and the Leiden
rankings from European universities. Overall the similarities are increased when the comparison is limited to the European