The patterns of scientific collaboration have been frequently investigated in terms of complex networks without reference to time evolution. In the present work, we derive collaborative networks (from the arXiv repository) parameterized along time. By defining the concept of affine group, we identify several interesting trends in scientific collaboration, including the fact that the average siz...

Key points • As the number of authors on scientific publications increases, ordered lists of author names are proving inadequate for the purposes of attribution and credit. • A multi-stakeholder group has produced a contributor role taxonomy for use in scientific publications. • Identifying specific contributions to published research will lead to appropriate credit, fewer author disputes, and ...

Previous research on university-industry collaboration in Canada concluded, using mean impact factors as a proxy, that the scientific impact of such research is not inferior to that of university research. Using field-normalized impact factors and citation counts, this paper reexamines the Canadian case. It shows that, when impact factors are field-normalized, university-industry papers are pub...

BACKGROUND Training investigators for the rapidly developing field of implementation science requires both mentoring and scientific collaboration. Using social network descriptive analyses, visualization, and modeling, this paper presents results of an evaluation of the mentoring and collaborations fostered over time through the National Institute of Mental Health (NIMH) supported by Implementa...

Scientific collaboration, in most cases, is seen as a joint action on a global scale that involves researchers from not just one region or one country but instead forming an international network of researchers. This type of epistemic communities builds up especially in the case of analytical modes of knowledge production. Rationales for a global science system are needs for complementary resou...

When computational researchers from several domains cooperate, one recurrent problem is finding tools, methods and approaches that can be used across disciplines, to enhance collaboration through reuse. The paper presents our ongoing work to meet the challenges posed by provenance-based retrieval, proposed as a solution for transdisciplinary scientific collaboration via reuse of scientific work...

Collaboration has become a dominant feature of modern science. Many scientific problems are beyond the realm of individual discipline or scientist to solve and hence require collaborative efforts. Meanwhile, today’s science becomes increasingly more dataintensive, resulting in a rapid transition from computational science to e-Science (or digital science). Recently, scientific workflows have em...

Collaboration among researchers is not found only in data exchange, but also in the interaction between the scientific models and their implementations, as well as in the aggregation of experiment programs and results. Besides, the researchers need an environment which renders possible the support of geographically distributed collaboration groups, to intensify the exchange of scientific resour...

This paper analyzes the level of scientific collaboration and interaction in different subject fields using a novel social network analysis (SNA) on a data set provided by the Department of Energy (DOE) Office of Scientific and Technologic Information (OSTI) in Oak Ridge, Tennessee. This paper not only determines the level of scientific collaboration between different disciplines, but it also a...