Community Detection in Multilayer Networks: Challenges, Opportunities and Applications

Abstract

Community detection represents a highly promising area of research; however, the analysis of networks characterized by multiple types of relationships called multilayer networks remains underexplored, presenting significant opportunities for advancement. Given the diverse range of approaches aimed at uncovering community structures in this field, a systematic review of recent developments is essential. While substantial progress has been made across various disciplines, numerous research avenues remain ripe for exploration. This paper provides an overview of the different types of multilayer networks and their applications in real-world contexts. Additionally, we discuss the challenges inherent in this field and propose potential research directions to enhance community detection methodologies and their effectiveness in multilayer networks.