Network motifs are defined as recurrent and statistically significant sub-graph patterns within a network, distinct from clusters, which are simply groups of nodes that are more densely connected to each other than to the rest of the network. While clusters represent local connectivity, network motifs reveal underlying structural features and functional roles that may not be apparent through clustering alone. Understanding these differences is crucial for analyzing complex networks in various fields, including biology and social sciences.
PREREQUISITESResearchers, data scientists, and network analysts interested in understanding complex network structures and their implications in various domains such as biology, sociology, and computer science.