The impact of human behavior during a crisis is a crucial factor that should always be taken into account by emergency managers. An early estimation of people's reaction can be performed through information posted on social networks. This paper proposes a platform for the extraction of real time information about an ongoing crisis from social networks, to understand the main concerns issued by users involved in the crisis. Such information is combined with other contextual data, in order to estimate the impacts of different alternative actions that can be undertaken by decision makers
['Antonio Attanasio', 'Louis Jallet', 'Antonio Lotito', 'Michele Osella', 'Francesco Ruà']
Fast and Effective Decision Support for Crisis Management by the Analysis of People’s Reactions Collected from Twitter