Degree Centrality
Discover how degree centrality provides a valuable measure of a node's influence within a network, enabling strategic decision-making across diverse domains.
Introduction
Degree centrality is a concept in network analysis that measures the importance or prominence of a node within a graph. In simple terms, it quantifies the number of direct connections a node has with other nodes in the network. A higher degree centrality indicates that a node has more connections, making it more influential or central within the graph.
Degree centrality can be applied to social network analysis. Imagine we are analyzing a social media platform like Twitter, and we want to find out which users are the most influential based on their connections (i.e., followers and followees). In this context, degree centrality can be used to measure the importance of each user in the network. Users with a high degree centrality would have many followers and followees, indicating that they are well-connected and potentially more ...