Knowledge Mapping for Intelligent Recommendation in Earthquake Disaster Response: A VOSviewer-Based Approach

Abstract

Effective disaster response requires timely access to relevant information and intelligent tools to interpret it. This study explores the relatively underexplored application of VOSviewer, originally designed for bibliometric analysis, as a knowledge mapping and recommendation tool in the context of earthquake disaster management. Using a dataset of tweets related to the 2023 Turkey–Syria earthquake, the study applies binary and full counting techniques to identify frequently occurring terms, thematic clusters, and key term relationships. The findings reveal dominant concerns such as humanitarian aid, emotional and religious responses, and geopolitical references, along with the notable influence of public figures. By repurposing VOSviewer for crisis-related social media analysis, the research demonstrates its potential as an intelligent analytical and decision-support tool, capable of guiding emergency response strategies. The study contributes to the growing field of crisis informatics by highlighting how knowledge mapping can enhance situational awareness and inform targeted, data-driven disaster response efforts.