Analysis of keywords in the field of crisis management using semantic network graphs

Abstract

This paper attempts to use keywords in order to establish their information value in understanding main topics and trends in crisis management research on the example of the Crisis Management Days conference proceedings. It uses natural language processing methodology, statistical analysis, and design of semantic network graphs to investigate topics and trends in the field of crisis management in Croatia and the region over the span of 13 years. Additional goal of the paper is establishing the validity of semantic distance analysis based solely on author keywords. The results not only reveal certain trends and clusters of conference topics, but show that the method holds potential for further research.