This research aims to explore the relationships among different centrality measures and clustering coefficients in graphs.
Analyzed simple graphs to establish relations between clustering and centrality measures.
Measured average clustering coefficient and various centralities including global, local efficiency, radiality, closeness, betweenness, and stress.
Identified specific relationships between the average clustering coefficient and other centrality measures.
Demonstrated how clustering coefficient impacts graph structure and centrality.
Abstract
Relations between average clustering coefficient and global clustering coefficient, local efficiency, radiality, closeness, betweenness, and stress centralities were obtained for simple graphs.