Classical approach in opinion diffusion studies are usually based on per- forming separately social networks or textual sentiment analysis. Few contributions are focused on a simultaneous approach that exploits the interactions between these two methods. The present work proposes an approach to combine social network analysis and sentiment analysis tools in order to explore the determinants of opin- ions diffusion in social online communities, namely on Twitter. We use a multi-steps procedure to derive signed networks related to the spread of contents and opinions A comparative analysis will be possible as well among the several concept networks
