Сравнение методов

	Собственная центральность	Центральность по посредничеству
Область	Сетевой анализ	Сетевой анализ
Семейство	Machine learning	Machine learning
Год появления	1972	1977
Автор метода	Bonacich, P.	Freeman, L. C.
Тип	Centrality measure	Centrality measure
Основополагающий источник	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.
Другие названия	eigenvector centrality, EC, Bonacich centrality, power centrality	Freeman betweenness, BC, geodesic betweenness, shortest-path betweenness
Связанные	6	6
Сводка	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.