Stakeholders Identification in a Disaster Through Twitter: Study Case SINABUNG 2018
Abstract
Twitter has become an important tool for knowing in real time what happens in the political, social and economic world. This platform is increasingly attractive as a communication method, which can be used in logistic and humanitarian operations processes improving communication between the actors involved in a natural disaster situation. Thus, in the present investigation a Social Network Analysis SNA approach is implemented using data generated in the social network Twitter about a disaster event analyzing three important actors: users, hashtags and URLs. The methodology is applied to a disaster study case (Sinabung volcano eruption in 2018). From this analysis, relevant users, topics and sources of information were identified during the disaster’s occurrence. These analyzes offer an overview of the interactions and impact of the most influential elements during the event under study, having important contribution news teams, social networks and research centers. The findings of the present study are compared with a previous study finding similarities in most of these but having in this study an additional identification of actors of the academic and technical field who seek to contribute and disseminate relevant information of the disruptive event.
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References
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