Salīdzināt metodes

	Īpašvektoru centralitāte	Starppriekšrocība (Betweenness Centrality)
Nozare	Tīklu analīze	Tīklu analīze
Saime	Machine learning	Machine learning
Izcelsmes gads	1972	1977
Autors	Bonacich, P.	Freeman, L. C.
Tips	Centrality measure	Centrality measure
Pirmavots	Bonacich, P. (1972). Factoring and weighting approaches to status scores and clique identification. Journal of Mathematical Sociology, 2(1), 113–120.	Freeman, L. C. (1977). A set of measures of centrality based on betweenness. Sociometry, 40(1), 35–41.
Citi nosaukumi	eigenvector centrality, EC, Bonacich centrality, power centrality	Freeman betweenness, BC, geodesic betweenness, shortest-path betweenness
Saistītās	6	6
Kopsavilkums	Eigenvector centrality, introduced by Bonacich in 1972, measures a node's influence by considering not just how many neighbors it has, but how influential those neighbors are. A node scores highly if it is connected to other high-scoring nodes, making it a recursive, globally-aware measure of structural importance in a network.	Betweenness centrality, formalized by Linton C. Freeman in 1977, measures how often a node lies on the shortest path connecting every other pair of nodes in a network. High-betweenness nodes act as bridges or brokers: removing them fragments the network into disconnected components more severely than removing any other nodes.