Towards an Intelligent Application of Large Scale Community Detection to Support Collaboration During Emergency Management

During crisis situations, people often use social media to seek for help and to find new collaborators who can help them in emergency management. In this context, we propose an intelligent application to find and recommend potential and relevant collaborators through social media. This application is based on a large scale contextualized community detection to compose dynamic groups. To do so, we propose to reuse a new community detection algorithm that considers simultaneously the network structure (social connections) and profiles homophily (similarities). An application of the proposed solution and a comparison with another community detection algorithm evaluates its performance.