Detection of Logistic Warning Signals via Social Media in Morocco: A Modeling Approach Using FCM and Graph Theory

This study examines how customer interactions on social media can serve as early indicators of logistical failures in Morocco. Based on 20 interviews with professionals and modeling using Fuzzy Cognitive Maps (FCM) combined with graph theory, the study highlights the types of comments considered indicative of potential malfunctions. The findings reveal several recurring weak signals, such as the geographical concentration of complaints or the emotional escalation in language, and propose an interpretive modeling of perceived causal dynamics, paving the way for social monitoring systems adapted to the Moroccan context.