Modeling Collaborations Content in Social Network Analysis

This paper presents a methodology and a software application to support the analysis of collaborations and collaboration content in scientific communities. High quality terminology extraction, semantic graphs and clustering techniques are used to identify the relevant research topics. Social analysis tools are then used to study the emergence of interests around certain topics, the evolution of collaborations around these themes, and to identify potential for better cooperation.