Abstract It has been proven that collaboration between authors leads to a positive influence on research. This paper aims analyse the complex structure of co-authorship network among researchers Italian Institute Technology. In this paper, we examine two different networks created starting from data papers published by Technology during period 2006–2019. We apply main Social Network Analysis te...

Purpose – Although the role of enterprise in R&D is broadly acknowledged, few attempts have been made to gather data for analyzing the nature and scope of private sector collaboration. This study aims to deliver empirical results based on quantitative data to gain insight into the role of private enterprise as an indispensable actor in scientific development and innovation. Design/methodology/a...

Knowledge sharing and knowledge flows of scientific groups have become an important factor affecting the development of the groups. On account of the mutual communication and collaboration in scientific, academic and research paper field, an invisible relationship network has been formed among them --knowledge sharing of scientific group network. Therefore, a good mastery of the network structu...

This study analyses the dynamics of regional scientific collaboration networks between Chinese and European regions on the emerging nano-science field. Using data on the co-author publications between Chinese and European nano-scientists for the period 1990–2011, the results enable us to identify the evolutionary and active collaboration networks between China and Europe. The driving forces for...

introduction: the purpose of this study was to visualize the scientific structure of multiple sclerosis (ms) during 1999-2008 and to use scientometric indicators for analysis of ms-related scientific publications indexed in web of science database. methods: this survey tried to visualize data as a scientometric method. a total number of 17737 ms-related articles published during 1999-2008 were ...

background institut pasteur international network (ipin), which includes 32 research institutes around the world, is a network of research and expertise to fight against infectious diseases. a scientometric approach was applied to describe research and collaboration activities of ipin.   methods publications were identified using a manual search of ipin member addresses in science citation inde...

Scientific collaboration networks are an important component of scientific output and contribute significantly to expanding our knowledge and to the economy and gross domestic product of nations. Here we examine a dataset from the Mendeley scientific collaboration network. We analyze this data using a combination of machine learning techniques and dynamical models. We find interesting clusters ...

Grid infrastructures coupled with semantic web linkage and reasoning open up intriguing new possibilities for scientific collaboration. In this short paper, we outline the research agenda and collaboration technologies under development within the CoAKTinG project: Collaborative Advanced Knowledge Technologies in the Grid. CoAKTinG will provide tools to assist scientific collaboration by integr...

This paper takes a broad view of the current status of the use and role of Social Networking by scientists and researchers. Facets of the study include the styles of scientific collaboration and how they differ from current social media capabilities, a look at the present scientific collaboration sites, what the trends are in the marketplace, and how this paradigm has the potential to change th...