방법 비교

	Betweenness Centrality	PageRank 중심성
분야	네트워크 분석	네트워크 분석
계열	Machine learning	Machine learning
기원 연도	1977	1999
창시자	Freeman, L. C.	Page, Brin, Motwani & Winograd
유형	Centrality measure	Iterative link-based centrality algorithm
원전	Freeman, L. C. (1977). A set of measures of centrality based on betweenness. Sociometry, 40(1), 35–41.	Page, L., Brin, S., Motwani, R., & Winograd, T. (1999). The PageRank citation ranking: Bringing order to the web. Stanford InfoLab Technical Report.
별칭	Freeman betweenness, BC, geodesic betweenness, shortest-path betweenness	Google PageRank, Random Surfer Model, Link-Based Ranking, PageRank Merkeziliği
관련	6	2
요약	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.	PageRank is a link-based centrality algorithm that assigns an importance score to each node in a directed graph by measuring how many high-quality nodes point to it. Introduced by Larry Page, Sergey Brin, Rajeev Motwani, and Terry Winograd at Stanford University in 1999, it became the mathematical foundation of the Google search engine and remains one of the most influential algorithms in network science and information retrieval.