Community Mapping for Cross-Boundary Research Collaboration

Making sense of research community patterns can be a challenging task since they are often complex, dynamic, and inseparable from the "messiness" of the real world. This paper introduces a data-centric community mapping tool that extracts and visualizes research communities in Computer Science, based on the DBLP publication database. Initial experiences with the community mapping tool suggest a possibility to facilitate the process of initiating cross-boundary research collaboration using multiple network structures.