Eigenvector centrality measures the influence of a node in a network by considering not just the number of direct connections it has, but also the importance of the nodes it is connected to. It is particularly useful in identifying influential nodes in social networks, where connections to other well-connected nodes enhance a node's centrality score.

Eigenvector Centrality

Eigenvector centrality

influence of a node

Network influence

direct connections

Importance of nodes

influential nodes

Social networks are structures composed of individuals or entities connected by various types of relationships, facilitating communication, information exchange, and influence among members. They play a crucial role in shaping social dynamics, impacting areas such as communication, marketing, and social behavior.

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