方法对比

	特征向量中心性	中间性中心度
领域	网络分析	网络分析
方法族	Machine learning	Machine learning
起源年份	1972	1977
提出者	Bonacich, P.	Freeman, L. C.
类型	Centrality measure	Centrality measure
开创性文献	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.
别名	eigenvector centrality, EC, Bonacich centrality, power centrality	Freeman betweenness, BC, geodesic betweenness, shortest-path betweenness
相关	6	6
摘要	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.