Community Structure and Topical Differentiation in European RTD Collaborations

Abstract

We investigate research and development collaborations under the EU Framework Programs (FPs) for Research and Technological Development. The collaborations in the FPs give rise to bipartite networks, with edges existing between projects and the organizations taking part in them. A version of the modularity measure, adapted to bipartite networks, is presented. Communities are found so as to maximize the bipartite modularity. Projects in the resulting communities are shown to be topically differentiated.

13 pages; presented at the 1st ICC International Conference on Network Modelling and Economic Systems

References in corpus (10)

• Uncovering the overlapping community structure of complex networks in nature and society
• Resolution limit in community detection
• Comparing community structure identification
• Statistical Mechanics of Community Detection
• Modularity and community detection in bipartite networks
• Mixture models and exploratory analysis in networks
• Community Detection as an Inference Problem
• The Network of EU-Funded Collaborative R&D Projects
• The shortest path to complex networks
• An indicator for community structure