The European Union wants to be a major player on the global stage of science and innovation, therefore programs such as the Horizon 2020 have been created. As most applicants apply through a consortium, the common attributes of the participating organisations and/or countries are of interest. In this thesis we analysed the following attributes: the applicants' country of origin, their status within the consortium (coordinator or participant), the type of the organisation (higher education institution, research institute, private for profit entity) and similar. We used social network analysis methods on graphs of connections between partners. Community detection methods were used to divide the projects into groups and thus establish which types of organisations commonly work together on certain types of projects, which types are common among larger groups and which organisations commonly form a consortium. The results of the analysis demonstrate that geographical location plays an important role. There are also big differences between consortiums; they are usually smaller on science and industrial projects and much larger on projects about societal challenges, where it is common to see more than ten organisations working together. In addition to that, we also found that Slovenia does not have as many connections to non-EU members such as Switzerland or Norway, compared to the more successful European countries.
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