Analyzing and modeling European R&D collaborations: Challenges and opportunities from a large social network

TL;DR

This paper analyzes large social networks from European Union R&D collaborations, focusing on community structures and formation mechanisms, using methods from statistical physics and economic geography to understand complex network properties.

Contribution

It introduces a comprehensive analysis of EU R&D collaboration networks, highlighting community detection and network formation mechanisms with novel interdisciplinary approaches.

Findings

Identification of key community structures within R&D networks

Insights into the mechanisms driving network formation

Application of physics and geography methods to social network analysis

Abstract

Networks have attracted a burst of attention in the last decade, with applications to natural, social, and technological systems. While networks provide a powerful abstraction for investigating relationships and interactions, the preparation and analysis of complex real-world networks nonetheless presents significant challenges. In particular social networks are characterized by a large number of different properties and generation mechanisms which require a rich set of indicators. The objective of the current study is to analyze large social networks with respect to their community structure and mechanisms of network formation. As a case study, we consider networks derived from the European Union's Framework Programs for Research and Technological Development using methods from statistical physics and economic geography.