Multiple Clusters Discovery Utilizing Network Motifs for Community Improvement: Insights from Tourism and Goods' Transactions

Abstract

Community improvement is about enhancing the physical infrastructure and promoting social, economic, and health outcomes. For comprehensive community enhancement, this paper proposed an analysis model to identify multiple clusters using the Cartesian product of network motifs and local-determined keywords. These clusters have the potential to intersect various domains and disciplines, fostering a more holistic understanding of community phenomena. Furthermore, we demonstrate the practical application of the model through two case studies: tourism and second-hand luxury goods transactions. Our findings in case studies reveal the potential of network motifs in identifying clusters that have the possibility of contributing to community improvement to some degree. These results have significant potential implications for both theoretical research and practical applications in community improvement, providing a new approach to identifying multiple clusters across diverse activities.